Titlebook: Computer Vision, Pattern Recognition, Image Processing, and Graphics; 6th National Confere Renu Rameshan,Chetan Arora,Sumantra Dutta Roy Co

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善于騙人

Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Predictiontween the motion predicted using the model and the actual observed motion in the scene is analyzed to detect anomalous activities. We perform extensive experimentation on the benchmark datasets of crowd anomaly analysis. We report State of the Art results across all the datasets.

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法律的瑕疵

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Recognizing Human Activities in Videos Using Improved Dense Trajectories over LSTMCF 101, Hollywood 2 dataset show the efficacy of the proposed approach. We extend the proposed framework with an efficient motion feature, to enable handling significant camera motion. The proposed approach outperforms the existing deep models for each dataset.

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