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Reliability Analysis of Multi-Objective Spatio-Temporal Segmentation of Human Motion in Video Sequences

Reliability Analysis of Multi-Objective Spatio-Temporal Segmentation of Human Motion in Video Sequences

Yan Hu
Copyright: © 2021 |Volume: 12 |Issue: 1 |Pages: 14
ISSN: 1947-3532|EISSN: 1947-3540|EISBN13: 9781799861720|DOI: 10.4018/IJDST.2021010102
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MLA

Hu, Yan. "Reliability Analysis of Multi-Objective Spatio-Temporal Segmentation of Human Motion in Video Sequences." IJDST vol.12, no.1 2021: pp.16-29. http://doi.org/10.4018/IJDST.2021010102

APA

Hu, Y. (2021). Reliability Analysis of Multi-Objective Spatio-Temporal Segmentation of Human Motion in Video Sequences. International Journal of Distributed Systems and Technologies (IJDST), 12(1), 16-29. http://doi.org/10.4018/IJDST.2021010102

Chicago

Hu, Yan. "Reliability Analysis of Multi-Objective Spatio-Temporal Segmentation of Human Motion in Video Sequences," International Journal of Distributed Systems and Technologies (IJDST) 12, no.1: 16-29. http://doi.org/10.4018/IJDST.2021010102

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Abstract

In view of the problem of uneven distribution of edge contour of multi-target human motion image in video sequence, which leads to the decline of target detection ability, an algorithm of multi-target spatial-temporal segmentation of human motion in video sequence based on edge contour feature detection and block fusion is proposed. Firstly, a multi-target spatial-temporal detection model of human motion in video sequence was constructed, extracting video image frame sequence, using discrete frame fusion method to segment and fuse moving target image, matching moving multi-target in video sequence, secondly segmenting motion features in moving target image, combining with SURF algorithm (speeded up robust features, accelerated robust features) to detect and extract human motion objects in video sequence. The experimental results show that the gray histogram of human motion multi-target space-time segmentation is close to the original image histogram, and the detection and recognition ability of human motion target is improved.

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