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Object Recognition and Content Abstraction of Surveillance Video

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Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1088))

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Abstract

Video content abstraction is a useful tool for the object and event acquisition in long-term video. To solve this problem, the video processing is divided into three phases including foreground extraction, key frame selection, and object recognition module design. Firstly, foreground pixels are extracted from the original video. Then the semantic category information of foreground objects are also extracted. Finally, concerned video content are automatically synthesized into the produced video. Experiments show the practical effect of video abstraction in different public datasets.

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References

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Author information

Authors and Affiliations

  1. The Third Research Institute of the Ministry of Public Security, Shanghai, People’s Republic of China

    Xiaoting Pan

Authors
  1. Xiaoting Pan
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Corresponding author

Correspondence to Xiaoting Pan .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Chuanchao Huang

  2. Computer Science and Information Management, Providence University, Taichung, Taiwan

    Yu-Wei Chan

  3. University of Aizu, Fukushima, Japan

    Neil Yen

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Pan, X. (2020). Object Recognition and Content Abstraction of Surveillance Video. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_231

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