Development of Software for Real-Time Unusual Motions Detection by Using CHLAC
Kenji Iwata, Yutaka Satoh, Katsuhiko Sakaue, Takumi Kobayashi, Nobuyuki Otsu · 2008
We developed software that automatically detects unusual motions in a video sequence in real-time by using an efficient implementation of CHLAC and a visual software framework called Lavatube. Video monitoring systems that can automatically detect unusual motions are currently in great demand. CHLAC has been shown to work effectively and favorably for this task. A newly developed parallel processing technique increases the speed of CHLAC by using SIMD instructions. The platform software Lavatube supports easy construction of a video processing system using graph-connecting icons on a GUI. We demonstrated the effectiveness of the proposed system through experiments in indoor and outdoor environments.