Fights Behavior Detection Based on Space-Time Interest Points

Abstract:

Human action recognition belongs to the senior visual analysis of computer vision, which involves image processing, artificial intelligence, pattern recognition and so on, is becoming one of the most hot research topic in recent years. In this paper, on the basis of comparative analysis and study towards current methods related to human action recognition, we propose a novel fights behavior detection method which is based on spatial-temporal interest point. Since most information of human action in video are indicated by the space-time interest points of video, we combine spatial-temporal features with motion energy image to describe information of video, and local spatial-temporal features are applied to extract fights behavior model by bags of words. Experimental results show that this method can achieve high accuracy and certain practical value.

• Periodical: Applied Mechanics and Materials (Volume 577)
• Pages: 659-663
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.577.659
• Online since: July 2014
• Authors: Jing Hu*, Xiang Qi, Jian Feng Chen
• Keywords: Fight Behavior, Interest Points, Motion Energy Image, Scene Understanding, Visual Bag of Words

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