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Machine Visual Perception in Cluttered Environments

Machine Visual Perception in Cluttered Environments
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Visual Search Asymmetries in Heavy Clutter: Implications for Display Design

Human Factors, 2011
Objective: An experiment aimed to test whether design of symbology to produce visual search asymmetries might facilitate target detection in cluttered displays. Background: A visual search asymmetry exists between two stimuli when a target of one type is found efficiently among distractors of the second type but a target of the second type is found ...
Yusuke Yamani, Jason S Mccarley
exaly   +3 more sources

A new approach of visual clutter analysis for pedestrian detection

16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013
Detection of pedestrians during driving is a complex cognitive activity. Some of the pedestrian crashes are due to driver's late or difficult perception of pedestrian's appearance. Visual clutter analysis can be used to study the factors that affect human visual search efficiency.
Edward J Delp, Yaobin Chen, Rini Sherony   +2 more
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Lowering Visual Clutter in Large Component Diagrams

2012 16th International Conference on Information Visualisation, 2012
Nowadays component applications can easily consist of hundreds or thousands of components and it is thus difficult to understand their structure. Diagram visualisation does not help much because of visual clutter caused by big amount of elements and connections, especially in the case of flat component models.
Lukas Holy, Kamil Jezek, Jaroslav Snajberk, Premek Brada   +3 more
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Clutter-Adaptive Visualization for Mobile Data Mining

2010 IEEE International Conference on Data Mining Workshops, 2010
There is an emerging focus on real-time data stream analysis on mobile devices. While many mobile data stream mining algorithms have been developed in recent times, generic and scalable visualization techniques have not been presented. This paper presents the demonstration of our innovative clutter-adaptive cluster visualization technique for mobile ...
Brett Gillick, Hasnain AlTaiar, Shonali Krishnaswamy, Jonathan Liono, Nicholas Nicoloudis, Abhijat Sinha, Arkady B. Zaslavsky, Mohamed Medhat Gaber   +7 more
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Object segmentation in cluttered and visually complex environments

Autonomous Robots, 2013
Object segmentation is essential for systems that acquire object models online for robotic grasping. However, it remains a major technical challenge in visually complex and uncontrolled environments. Segmentation algorithms that rely on image features alone can perform poorly under certain lighting conditions, or if the object and the background have ...
Dmitri Ignakov, Guangjun Liu, Galina Okouneva   +2 more
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Visual Search and Detection in Background Clutter

Proceedings of the Human Factors Society Annual Meeting, 1992
Two traditions of vision modeling have coexisted for many years with little or no transfer of information between them. Those interested in models of visual target acquisition for real-world scenarios have developed engineering models, which are essentially empirical summaries of visual performance data.
Theodore J. Doll, Shane W. McWhorter, David E. Schmieder   +2 more
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Techniques to reduce cluttering of RDF visualizations

Future Generation Computer Systems, 2015
The Resource Description Framework (RDF) provides a generic way to represent data as a graph using Web standards. The benefits of using RDF are multiple, including an extensible and generic data model that can be used to represent almost any knowledge domain.
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Visual Cluttering Reduction for Visualizing Large Spatio-temporal Data Sets

2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
Visual analytic techniques are useful for studying patterns and relationships hidden in very large data sets. However, a common problem in visualizing large data sets is visual cluttering. When data get large, visual elements often get crowded, making it difficult for viewers to conduct analysis.
Ayush Shrestha, Ying Zhu 0001, Yan Zhu
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Recognizing objects in adversarial clutter: breaking a visual CAPTCHA

2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003
In this paper we explore object recognition in clutter. We test our object recognition techniques on Gimpy and EZ-Gimpy, examples of visual CAPTCHAs. A CAPTCHA ("Completely Automated Public Turing test to Tell Computers and Humans Apart") is a program that can generate and grade tests that most humans can pass, yet current computer programs can't pass.
Greg Mori, Jitendra Malik
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