Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scene

Title
Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scene
Authors
이동규석흥일박성기이성환
Keywords
humanbehavior anaysis; vision-based; Unusual activity; crowded scene
Issue Date
2015-10
Publisher
IEEE transactions on circuits and systems for video technology : a publication of the Circuits and Systems Society
Citation
VOL 25, NO 10, 1612-1623
Abstract
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, and size of the objects or subjects and their interactions within a frame sequence. Using the proposed motion influence map, we further developed a general framework in which we can detect both global and local unusual activities. Furthermore, thanks to the representational power of the proposed motion influence map, we can localize unusual activities in a simple manner. In our experiments on three public datasets, we compared the performances of the proposed method with that of other state-of-the-art methods and showed that the proposed method outperforms these competing methods.
URI
http://pubs.kist.re.kr/handle/201004/51237
ISSN
10518215
Appears in Collections:
KIST Publication > Article
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