Human Tracking System from Video Based on Blob Analysis and Object Segmentation Method

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Date
2018
ISBN
978-153868458-0
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Resource Type
Conference paper
Publisher
Institute of Electrical and Electronics Engineers Inc.
Journal Title
Human Tracking System from Video Based on Blob Analysis and Object Segmentation Method
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Abstract
The research aims to propose a method of video human tracking system. The methodology algorithms are compound with motion vector, optical flow, object segmentation, and Blob analysis. An experiment is set on two situations, which are difference places and difference distance between camera and backgrounds. The results display that the percentage of accuracy has 77.76% in difference 7 areas but the similar distance between camera and human. The other experiment shows that the best distance between camera and human is around 4-30 meters. Therefore, the system would work well when the camera set on the proper area and distance, between camera and human. Thus, the system would contribute to human behavior to suspend the crime with real-Time operating. � 2018 IEEE.
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Citation
ISCIT 2018 - 18th International Symposium on Communication and Information Technology
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