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Potential stimulus contributions to counterchange determined motion perception
Title
Potential stimulus contributions to counterchange determined motion perception.
Creator
Park, Cynthia Louise Smith, Hock, Howard S., Barenholtz, Elan, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description
Prior research has explored the counterchange model of motion detection in terms of counterchanging information that originates in the stimulus foreground (or objects). These experiments explore counterchange apparent motion with regard to a new apparent motion stimulus where the necessary counterchanging information required for apparent motion is provided by altering the luminance of the background. It was found that apparent motion produced by background-counterchange requires longer frame...
Show morePrior research has explored the counterchange model of motion detection in terms of counterchanging information that originates in the stimulus foreground (or objects). These experiments explore counterchange apparent motion with regard to a new apparent motion stimulus where the necessary counterchanging information required for apparent motion is provided by altering the luminance of the background. It was found that apparent motion produced by background-counterchange requires longer frame durations and lower levels of average stimulus contrast compared to foreground-counterchange. Furthermore, inter-object distance does not influence apparent motion produced by background-counterchange to the degree it influences apparent motion produced by foreground-counterchange.
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Date Issued
2014
PURL
http://purl.flvc.org/fau/fd/FA00004313
Subject Headings
Motion perception (Vision), Perceptual motor processes, Visual analysis, Visual discrimination, Visual pathways, Visual perception
Format
Document (PDF)
Contextual Modulation of Competitive Object Candidates in Early Object Recognition
Title
Contextual Modulation of Competitive Object Candidates in Early Object Recognition.
Creator
Islam, Mohammed F., Barenholtz, Elan, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description
Object recognition is imperfect; often incomplete processing or deprived information yield misperceptions (i.e., misidentification) of objects. While quickly rectified and typically benign, instances of such errors can produce dangerous consequences (e.g., police shootings). Through a series of experiments, this study examined the competitive process of multiple object interpretations (candidates) during the earlier stages of object recognition process using a lexical decision task paradigm....
Show moreObject recognition is imperfect; often incomplete processing or deprived information yield misperceptions (i.e., misidentification) of objects. While quickly rectified and typically benign, instances of such errors can produce dangerous consequences (e.g., police shootings). Through a series of experiments, this study examined the competitive process of multiple object interpretations (candidates) during the earlier stages of object recognition process using a lexical decision task paradigm. Participants encountered low-pass filtered objects that were previously demonstrated to evoke multiple responses: a highly frequented interpretation (“primary candidates”) and a lesser frequented interpretation (“secondary candidates”). When objects were presented without context, no facilitative effects were observed for primary candidates. However, secondary candidates demonstrated evidence for being actively suppressed.
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Date Issued
2017
PURL
http://purl.flvc.org/fau/fd/FA00004836, http://purl.flvc.org/fau/fd/FA00004836
Subject Headings
Pattern recognition systems., Information visualization., Artificial intelligence., Spatial analysis (Statistics), Latent structure analysis.
Format
Document (PDF)
How the Spatial Organization of Objects Affects Perceptual Processing of a Scene
Title
How the Spatial Organization of Objects Affects Perceptual Processing of a Scene.
Creator
Rashford, Stacey, Barenholtz, Elan, Florida Atlantic University, Charles E. Schmidt College of Science, Department of Psychology
Abstract/Description
How does spatial organization of objects affect the perceptual processing of a scene? Surprisingly, little research has explored this topic. A few studies have reported that, when simple, homogenous stimuli (e.g., dots), are presented in a regular formation, they are judged to be more numerous than when presented in a random configuration (Ginsburg, 1976; 1978). However, these results may not apply to real-world objects. In the current study, fewer objects were believed to be on organized...
Show moreHow does spatial organization of objects affect the perceptual processing of a scene? Surprisingly, little research has explored this topic. A few studies have reported that, when simple, homogenous stimuli (e.g., dots), are presented in a regular formation, they are judged to be more numerous than when presented in a random configuration (Ginsburg, 1976; 1978). However, these results may not apply to real-world objects. In the current study, fewer objects were believed to be on organized desks than their disorganized equivalents. Objects that are organized may be more likely to become integrated, due to classic Gestalt principles. Consequently, visual search may be more difficult. Such object integration may diminish saliency, making objects less apparent and more difficult to find. This could explain why, in the present study, objects on disorganized desks were found faster.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004537, http://purl.flvc.org/fau/fd/FA00004537
Subject Headings
Image analysis, Optical pattern recognition, Pattern recognition systems, Phenomenological psychology, Visual perception
Format
Document (PDF)
An Intelligent Method For Violence Detection in Live Video Feeds
Title
An Intelligent Method For Violence Detection in Live Video Feeds.
Creator
Eneim, Maryam, Marques, Oge, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
In the past few years, violence detection has become an increasingly rele- vant topic in computer vision with many proposed solutions by researchers. This thesis proposes a solution called Criminal Aggression Recognition Engine (CARE), an OpenCV based Java implementation of a violence detection system that can be trained with video datasets to classify action in a live feed as non-violent or violent. The algorithm extends existing work on fast ght detection by implementing violence detection...
Show moreIn the past few years, violence detection has become an increasingly rele- vant topic in computer vision with many proposed solutions by researchers. This thesis proposes a solution called Criminal Aggression Recognition Engine (CARE), an OpenCV based Java implementation of a violence detection system that can be trained with video datasets to classify action in a live feed as non-violent or violent. The algorithm extends existing work on fast ght detection by implementing violence detection of live video, in addition to prerecorded video. The results for violence detection in prerecorded videos are comparable to other popular detection systems and the results for live video are also very encouraging, making the work proposed in this thesis a solid foundation for improved live violence detection systems.
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Date Issued
2016
PURL
http://purl.flvc.org/fau/fd/FA00004775, http://purl.flvc.org/fau/fd/FA00004775
Subject Headings
Multimedia systems., Image analysis., Computer vision., Visual communication--Social aspects., Social problems--21st century., Pattern recognition systems., Optical pattern recognition.
Format
Document (PDF)
Context-based Image Concept Detection and Annotation
Title
Context-based Image Concept Detection and Annotation.
Creator
Zolghadr, Esfandiar, Furht, Borko, Florida Atlantic University, College of Engineering and Computer Science, Department of Computer and Electrical Engineering and Computer Science
Abstract/Description
Scene understanding attempts to produce a textual description of visible and latent concepts in an image to describe the real meaning of the scene. Concepts are either objects, events or relations depicted in an image. To recognize concepts, the decision of object detection algorithm must be further enhanced from visual similarity to semantical compatibility. Semantically relevant concepts convey the most consistent meaning of the scene. Object detectors analyze visual properties (e.g., pixel...
Show moreScene understanding attempts to produce a textual description of visible and latent concepts in an image to describe the real meaning of the scene. Concepts are either objects, events or relations depicted in an image. To recognize concepts, the decision of object detection algorithm must be further enhanced from visual similarity to semantical compatibility. Semantically relevant concepts convey the most consistent meaning of the scene. Object detectors analyze visual properties (e.g., pixel intensities, texture, color gradient) of sub-regions of an image to identify objects. The initially assigned objects names must be further examined to ensure they are compatible with each other and the scene. By enforcing inter-object dependencies (e.g., co-occurrence, spatial and semantical priors) and object to scene constraints as background information, a concept classifier predicts the most semantically consistent set of names for discovered objects. The additional background information that describes concepts is called context. In this dissertation, a framework for building context-based concept detection is presented that uses a combination of multiple contextual relationships to refine the result of underlying feature-based object detectors to produce most semantically compatible concepts. In addition to the lack of ability to capture semantical dependencies, object detectors suffer from high dimensionality of feature space that impairs them. Variances in the image (i.e., quality, pose, articulation, illumination, and occlusion) can also result in low-quality visual features that impact the accuracy of detected concepts. The object detectors used to build context-based framework experiments in this study are based on the state-of-the-art generative and discriminative graphical models. The relationships between model variables can be easily described using graphical models and the dependencies and precisely characterized using these representations. The generative context-based implementations are extensions of Latent Dirichlet Allocation, a leading topic modeling approach that is very effective in reduction of the dimensionality of the data. The discriminative contextbased approach extends Conditional Random Fields which allows efficient and precise construction of model by specifying and including only cases that are related and influence it. The dataset used for training and evaluation is MIT SUN397. The result of the experiments shows overall 15% increase in accuracy in annotation and 31% improvement in semantical saliency of the annotated concepts.
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Date Issued
2016
PURL
http://purl.flvc.org/fau/fd/FA00004745, http://purl.flvc.org/fau/fd/FA00004745
Subject Headings
Computer vision--Mathematical models., Pattern recognition systems., Information visualization., Natural language processing (Computer science), Multimodal user interfaces (Computer systems), Latent structure analysis., Expert systems (Computer science)
Format
Document (PDF)
The Significance for, and Impact Upon, Public Administration of the Correspondence Theory of Truth or Veridicality
Title
The Significance for, and Impact Upon, Public Administration of the Correspondence Theory of Truth or Veridicality.
Creator
Slagle, Derek Ray, Miller, Hugh T., Florida Atlantic University, College for Design and Social Inquiry, School of Public Administration
Abstract/Description
The dissertation is about the significance for, and impact upon public administration of the correspondence theory of truth or veridicality, and its underlying epistemological assumptions. The underlying thesis is that, unduly influenced by the success of the natural sciences, and naive in accepting their claims to objectivity, many disciplines have sought to emulate them. There are two principle objections. Firstly, all other considerations aside, the supposedly objectivistic methodologies...
Show moreThe dissertation is about the significance for, and impact upon public administration of the correspondence theory of truth or veridicality, and its underlying epistemological assumptions. The underlying thesis is that, unduly influenced by the success of the natural sciences, and naive in accepting their claims to objectivity, many disciplines have sought to emulate them. There are two principle objections. Firstly, all other considerations aside, the supposedly objectivistic methodologies apparently applied to the explanation and prediction of the behavior of interactions of physical objects, may simply be inappropriate to certain other areas of inquiry; and more specifically objectivist methodologies are indeed inappropriate to understanding of human subjects, and their behavior, relations and interactions, and thus to public administration. The second objection is that it is of course logically impossible for any supposedly empirical discipline, as the natural sciences claim to be, to justify the belief in a supposedly objective realm of things-in-themselves existing outside, beyond, or independently of the changing, interrupted and different 'appearances' or experiences, to which an empirical science is qua empirical, necessarily restricted. Correspondence of any empirical observations or appearances (and the consequent or presupposed theoretical explanations) to an objective realm, upon which the claim to objectivity is based, is unverifiable. In light of the above it becomes evident that far from being objective, the natural sciences themselves, and the empirical observations upon which they are supposedly grounded, are subject to conceptual mediation and subjective interpretation; subjective and inter-subjective coherence replacing objective correspondence as the criterion of veridicality. Consequently it becomes clear that the presuppositions and prejudices of the observers enter, in the forms of concepts and preconceptions, into the very observations, and even more so into the theoretical constructions, or theories, of the natural, and indeed human and social sciences, and their claims to be authoritative and true. Subsequent discussion is then focused on both the coherence of individuals' experiences and understanding, and their inter-subjective coherence - which both rises from and constitutes, a "community". The role of language facilitates such coherence.
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Date Issued
2015
PURL
http://purl.flvc.org/fau/fd/FA00004548, http://purl.flvc.org/fau/fd/FA00004548
Subject Headings
Discourse analysis, Information theory -- Philosophy, Philosophy of mind, Polarity (Linguistics), Public administration -- Language, Public administration -- Research -- Philosophy, Social constructivism, Visual perception
Format
Document (PDF)