期刊
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING
卷 -, 期 -, 页码 -出版社
SPRINGER
DOI: 10.1186/s13634-018-0574-4
关键词
Abnormal event detection; Histogram of oriented contextual gradients
资金
- National Natural Science Foundation of China [61374197]
- Shanghai natural science foundation [17ZR1443500]
- Shanghai Sailing Program
- Talent Program of Shanghai University of Engineering Science
Detecting abnormal events in crowded scenes is an important but challenging task in computer vision. Contextual information is useful for discovering salient events in scenes; however, it cannot be characterized well by commonly used pixel-based descriptors, such as the HOG descriptor. In this paper, we propose contextual gradients between two local regions and then construct a histogram of oriented contextual gradient (HOCG) descriptor for abnormal event detection based on the contextual gradients. The HOCG descriptor is a distribution of contextual gradients of sub-regions in different directions, which can effectively characterize the compositional context of events. We conduct extensive experiments on several public datasets and compare the experimental results using state-of-the-art approaches. Qualitative and quantitative analysis of experimental results demonstrate the effectiveness of the proposed HOCG descriptor.
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