Improved Video Moving Target Tracking Based on Camshift

Li, Liang and Luo, Yi (2016) Improved Video Moving Target Tracking Based on Camshift. American Journal of Computational Mathematics, 06 (04). pp. 357-364. ISSN 2161-1203

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Abstract

Focusing on the failure under the condition of target blocking, the similarity between target color and background color for the Camshift algorithm, an improved algorithm based on Camshift algorithm is proposed. Gaussian mixture model is used to determine the tracking area fast and accurately because it is not sensitive to the external conditions such as light and shadow. Kalman predictor is used to predict the blocked target effectively. The video is processed in the MATLAB environment. The moving target can be tracked and its position can be predicted accurately with the proposed improved algorithm. The results verify the feasibility and effectiveness of the algorithm.

Item Type: Article
Subjects: East Asian Archive > Mathematical Science
Depositing User: Unnamed user with email support@eastasianarchive.com
Date Deposited: 15 Jun 2023 10:09
Last Modified: 01 Sep 2025 03:49
URI: http://authors.go2articles.com/id/eprint/1058

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