We propose PoseCVAE, a novel anomalous human activity detection strategy using the notion of generative modeling.
PoseCVAE captures the anomalous human activity (running person) such as can be seen from the increased anomaly score for the corresponding frame. representation ...
We propose PoseCVAE, a novel anomalous human activity detection strategy using the notion of generative modeling.
PoseCVAE: Anomalous Human Activity Detection. Yashswi Jain*, Ashvini Kumar Sharma*, Rajbabu Velmurugan and Biplab Banerjee. Indian Institute of Technology ...
Dec 8, 2020 · Input: Noise randomly sampled from standard normal. Condition: past trajectory, length = 'T'. Output: future trajectory, length = 'T'.
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Aug 27, 2024 · Video Anomaly Detection (VAD) is a rapidly growing area within Computer Vision that focuses on automatically identifying unusual events or ...
The proposed multi-timescale model makes future and past predictions at different timescales for a given input pose trajectory and outperforms existing ...
Oct 22, 2022 · A human pose-driven and object-detector-based deep learning architecture is proposed, which simultaneously leverages human poses and raw RGB data to perform ...
This paper focuses on finding the key points on the human body and to develop and train a model using deep neural network which takes the key points as input ...
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Apr 12, 2022 · In this article, we create a dataset that deals with abnormal activities, containing categories such as Begging, Drunkenness, Fight, Harassment, Hijack, Knife ...