SFU at TRECVid 2009: Event Detection

by Weilong Yang , Tian Lan , Greg Mori

Citations:

4 - 1 self

Datum	Value	Source
TITLE	SFU at TRECVid 2009: Event Detection	SVM HeaderParse 0.2
AUTHOR NAME	Weilong Yang	SVM HeaderParse 0.2
AUTHOR AFFIL	School of Computing Science; Simon Fraser University	SVM HeaderParse 0.2
AUTHOR NAME	Tian Lan	SVM HeaderParse 0.2
AUTHOR AFFIL	School of Computing Science; Simon Fraser University	SVM HeaderParse 0.2
AUTHOR NAME	Greg Mori	SVM HeaderParse 0.2
AUTHOR AFFIL	School of Computing Science; Simon Fraser University	SVM HeaderParse 0.2
ABSTRACT	This paper describes the SFU entry for the TRECVid 2009 event detection challenge. We attempted to detect events involving either one or two individuals, and present algorithms for “running”, “embrace”, and “pointing” event detection. The system has three stages. First, preprocessing is performed to extract candidate space-time regions using background subtraction and photogrammetric context. These candidate regions are processed with specific event detection algorithms, utilizing motion for “running” and “embrace ” and shape for “pointing”. A postprocessing step produces temporally localized responses for evaluation. The system is computationally efficient (0.2 seconds per frame) and achieved very good minimum DCR scores on the final evaluation. 1.	SVM HeaderParse 0.2
CITATIONS	3 found	ParsCit 1.0