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In this paper, we propose a novel method for unusual human activity detection in crowded scenes. Specifically, rather than detecting or segmenting humans, we devised an efficient method, called a motion influence map, for representing human activities. The key feature of the proposed motion influence map is that it effectively reflects the motion characteristics of the movement speed, movement direction,...
Robots are designed to drive in various kind of environment but the nature environments are very complex. The purpose of this research is to design the robot for amphibious locomotion based on hexapedal mechanism. Prototype is assembled and various experiments are performed for the prototype. In the experiment on the water-surface, we measure rolling angle and lifting force and guarantee the stable...
In this paper, we propose a new method to detect abnormal behavior in crowd video. The motion influence matrix is proposed to represent crowd behaviors. It is generated based on concept of human perception with block-level motion vectors which describe actual crowd movement. Furthermore, a generalized framework is developed to detect abnormal crowd behavior using motion influence matrix. The proposed...
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