Video behavior recognition based on locally compressive sensing

WANG Wenfeng; CHEN Xi; WANG Haiyang; PENG Wei; QIAN Jing; ZHENG Hongwei

doi:10.16511/j.cnki.qhdxxb.2018.25.024

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Journal of Tsinghua University(Science and Technology) ›› 2018, Vol. 58 ›› Issue (6) : 581-586. DOI: 10.16511/j.cnki.qhdxxb.2018.25.024

PHYSICS AND ENGINEERING PHYSICS

Video behavior recognition based on locally compressive sensing

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Abstract

Compressive sensing has been successfully applied in the field of target tracking but not for behavior recognition. This paper presents a locally compressive sensing algorithm for behavior analysis which combines compressive tracking and centroid localization for recognition of video object behavior. Local compressive sensing selects a behavior-sensitive area for compressive tracking which characterizes target behavior based on classification of the object trajectory and local centroid velocity. Tests show that locally compressive sensing can accurately recognize global behavior such as running and falling and local behavior such as smiles and blinking. Therefore, the locally compressive sensing method is of great value that can be used for video surveillance and behavior recognition.

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compressive sensing / centroid localization / target tracking

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WANG Wenfeng, CHEN Xi, WANG Haiyang, PENG Wei, QIAN Jing, ZHENG Hongwei. Video behavior recognition based on locally compressive sensing[J]. Journal of Tsinghua University(Science and Technology). 2018, 58(6): 581-586 https://doi.org/10.16511/j.cnki.qhdxxb.2018.25.024

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