Browsing by Author Ngô Đức Vĩnh, Đỗ Năng Toàn

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  • Book; Book chapter; Dataset


  • Authors: Ngô Đức Vĩnh, Đỗ Năng Toàn (2015)

  • This paper proposes a technique to detect abnormalities in the video surveillance based on motion trajectory. Proposed technique is based on the nature of the route has a certain influence on objects moving on that route, thereby we given a representations routes by segments, combined used Hausdorff distance to calculate the similarity between trajectories. Therefore, the proposed technique can detect abnormal, even when the object is not complete orbital motion, thus the system can response the video monitoring real-time.

  • item.jpg
  • Book; Book chapter; Dataset


  • Authors: Ngô Đức Vĩnh, Đỗ Năng Toàn (2015)

  • This paper proposes a technique to detect abnormalities in the video surveillance based on motion trajectory. Proposed technique is based on the nature of the route has a certain influence on objects moving on that route, thereby we given a representations routes by segments, combined used Hausdorff distance to calculate the similarity between trajectories. Therefore, the proposed technique can detect abnormal, even when the object is not complete orbital motion, thus the system can response the video monitoring real-time.

Browsing by Author Ngô Đức Vĩnh, Đỗ Năng Toàn

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 2 of 2
  • item.jpg
  • Book; Book chapter; Dataset


  • Authors: Ngô Đức Vĩnh, Đỗ Năng Toàn (2015)

  • This paper proposes a technique to detect abnormalities in the video surveillance based on motion trajectory. Proposed technique is based on the nature of the route has a certain influence on objects moving on that route, thereby we given a representations routes by segments, combined used Hausdorff distance to calculate the similarity between trajectories. Therefore, the proposed technique can detect abnormal, even when the object is not complete orbital motion, thus the system can response the video monitoring real-time.

  • item.jpg
  • Book; Book chapter; Dataset


  • Authors: Ngô Đức Vĩnh, Đỗ Năng Toàn (2015)

  • This paper proposes a technique to detect abnormalities in the video surveillance based on motion trajectory. Proposed technique is based on the nature of the route has a certain influence on objects moving on that route, thereby we given a representations routes by segments, combined used Hausdorff distance to calculate the similarity between trajectories. Therefore, the proposed technique can detect abnormal, even when the object is not complete orbital motion, thus the system can response the video monitoring real-time.