NDLI: Super-pixel based crowd flow segmentation in H.264 compressed videos

Content Provider	IEEE Xplore Digital Library
Author	Biswas, Sovan Praveen, R. Gnana Babu, R. Venkatesh
Copyright Year	2014
Description	Author affiliation: Video Analytics Laboratory, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India (Biswas, Sovan; Praveen, R. Gnana; Babu, R. Venkatesh)
Abstract	In this paper, we have proposed a simple yet robust novel approach for segmentation of high density crowd flows based on super-pixels in H.264 compressed videos. The collective representation of the motion vectors of the compressed video sequence is transformed to color map and super-pixel segmentation is performed at various scales for clustering the coherent motion vectors. The number of dynamically meaningful flow segments is determined by measuring the confidence score of the accumulated multi-scale super-pixel boundaries. The final crowd flow segmentation is obtained from the edges that are consistent across all the super-pixel resolutions. Hence, our major contribution involves obtaining the flow segmentation by clustering the motion vectors and determination of number of flow segments using only motion super-pixels without any prior assumption of the number of flow segments. The proposed approach was bench-marked on standard crowd flow dataset. Experiments demonstrated better accuracy and speedup for the proposed approach compared to the state-of-the-art methods.
Starting Page	2319
Ending Page	2323
File Size	329403
Page Count	5
File Format	PDF
ISBN	9781479957514
DOI	10.1109/ICIP.2014.7025470
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-27
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Motion segmentation Videos Video sequences Computer vision Image edge detection Conferences Motion Segmentation Crowd Flow Segmentation Super-pixels H.264 Compressed domain
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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