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A System for Dissecting the Video for Tracing Multiple Humans in Multifaceted Situation

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 77 - Number 5
Year of Publication: 2013
Authors:
M. Hemalatha
V. Vinodhini
B. Sivaranjani
10.5120/13390-1030

M Hemalatha, V Vinodhini and B Sivaranjani. Article: A System for Dissecting the Video for Tracing Multiple Humans in Multifaceted Situation. International Journal of Computer Applications 77(5):16-20, September 2013. Full text available. BibTeX

@article{key:article,
	author = {M. Hemalatha and V. Vinodhini and B. Sivaranjani},
	title = {Article: A System for Dissecting the Video for Tracing Multiple Humans in Multifaceted Situation},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {77},
	number = {5},
	pages = {16-20},
	month = {September},
	note = {Full text available}
}

Abstract

Segmenting and tracking multiple humans is a challenging problem in complex situations in which extended occlusion, shadow and/or reflection exists. We tackle this problem with a 3D model-based approach. This method includes two stages, segmentation (detection) and tracking. Human hypotheses are generated by shape analysis of the foreground blobs using human shape model. The segmented human hypotheses are tracked with a Kalman filter with explicit handling of occlusion. Hypotheses are verified while they are tracked for the first second or so. The verification is done by walking recognition using an articulated human walking model. We propose a new method to recognize walking using motion template and temporal integration. Experiments show that our approach works robustly in very challenging Sequences.

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