Translator Disclaimer
4 March 2008 Inhibitory surround and grouping effects in human and computational multiple object tracking
Author Affiliations +
Proceedings Volume 6806, Human Vision and Electronic Imaging XIII; 68060R (2008) https://doi.org/10.1117/12.766960
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Multiple Object Tracking (MOT) experiments show that human observers can track over several seconds up to five moving targets among several moving distractors. We extended these studies by designing modified MOT experiments to investigate the spatio-temporal characteristics of human visuo-cognitive mechanisms for tracking and applied the findings and insights obtained from these experiments in designing computational multiple object tracking algorithms. Recent studies indicate that attention both enhances the neural activity of relevant information and suppresses the irrelevant visual information in the surround. Results of our experiments suggest that the suppressive surround of attention extends up to 4 deg from the target stimulus, and it takes at least 100 ms to build it. We suggest that when the attentional windows corresponding to separate target regions are spatially close, they can be grouped to form a single attentional window to avoid interference originating from suppressive surrounds. The grouping experiment results indicate that the attentional windows are grouped into a single one when the distance between them is less than 1.5 deg. Preliminary implementation of the suppressive surround concept in our computational video object tracker resulted in less number of unnecessary object merges in computational video tracking experiments.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ozgur Yilmaz, Sadiye Guler, and Haluk Ogmen "Inhibitory surround and grouping effects in human and computational multiple object tracking", Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 68060R (4 March 2008); https://doi.org/10.1117/12.766960
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

A template matching acceleration algorithm based on Cuda
Proceedings of SPIE (August 09 2018)
Image quality assessment and human visual system
Proceedings of SPIE (August 04 2010)
New modulation-based watermarking technique for video
Proceedings of SPIE (February 16 2006)
Designing dither matrices using a human visual model
Proceedings of SPIE (August 27 1992)
System for parsing MPEG videos
Proceedings of SPIE (December 20 1999)

Back to Top