Pattern recognition for video surveillance and physical security
Hiroshi Kage, Makito Seki, Kazuhiko Sumi, Ken‐ichi Tanaka, Kazuo Kyuma · 2007
We introduce our pattern recognition technologies for video surveillance and physical security. Firstly we explain the system to detect violent actions in an elevator car. The system detects the occurrence of a relevant action via image motion analysis. Secondly we briefly describe our face recognition algorithms by Adaboost. Generally speaking, any face recognition system has operational difficulties caused by facial occlusions, expressions, or aging. Focusing on facial occlusions, we are developing a face recognition system using auto-associative memory. In this paper we show some applied results. In conclusions, we clarify our future directions.