Activity and Individual Human Recognition in Infrared Imagery
نویسنده
چکیده
In this chapter, we investigate repetitive human activity patterns and individual recognition in thermal infrared imagery, where human motion can be easily detected from the background regardless of the lighting conditions and colors of the human clothing and surfaces, and backgrounds. We employ an efficient spatio-temporal representation for human repetitive activity and individual recognition, which represents human motion sequence in a single image while preserving spatio-temporal characteristics. A statistical approach is used to extract features for activity and individual recognition. Experimental results show that the proposed approach achieves good performance for repetitive human activity and individual recognition.
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