Mr. C. W. Chan Profile

C. W. Chan

at Univ of Hong Kong

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Proceedings Article | 27 November 2019 Paper

Video-based violence detection by human action analysis with neural network

Yunqing Zhao, Wilton W. T. Fok, C. W. Chan

Proceedings Volume 11321, 113212N (2019) https://doi.org/10.1117/12.2543564

KEYWORDS: Neural networks, Video, Detection and tracking algorithms, Video surveillance, Logic, Video processing, Feature extraction

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In recent years, human action analysis is a focal point in video processing, especially on action recognition and safety surveillance. It always performs as an auxiliary tool to minimize the manpower-resource on special tasks. This paper explores the human action analysis in a specified situation, based on the human posture extraction by pose-estimation algorithm. Deep neural network (DNN) methods was used, composed of residual learning blocks for feature extraction and recurrent neural network for time-series data learning. All these modules can be applied on real-time videos, classifying different security levels of actions between two people, with 91.8% accuracy on test set. Meanwhile, some other classical network structures were compared as baselines. After forward inference process of the neural network model, a logic enhancement algorithm was raised and applied in this paper, due to the prediction error between two classes. Experiments were conducted on real-time videos, achieving satisfying performance.

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