Abnormal Crowded Behavior Detection using Ensemble Kernel Based Direct Density Ratio Estimation and Consistent Anomaly Detection
碩士 === 國立臺灣科技大學 === 電子工程系 === 103 === This thesis proposes a novel inlier-based outlier detection scheme for anomaly detection in crowded scenes based on the Kullback-Leibler importance estimation procedure (KLIEP). The video is first segmented into a set of local spatio-temporal cubes, from which...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/53691156889083837420 |