An Improvement of the Camshift Human Tracking Algorithm Based on Deep Learning and the Kalman Filter
Automated human tracking in real time has been applied in many areas such as security, surveillance, traffic control, and robots. In this paper, an improvement of the Camshift human tracking algorithm based on deep learning and the Kalman filter is proposed. To detail an approach by using YOLOv4-tin...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2023-01-01
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Series: | Journal of Robotics |
Online Access: | http://dx.doi.org/10.1155/2023/5525744 |
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