Abnormal event detection in crowded scenes using histogram of oriented contextual gradient descriptor
Abstract 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 t...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-08-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13634-018-0574-4 |