International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 14 |
Year of Publication: 2023 |
Authors: Jianjun Yang, Mingyuan Yan, Abi Salimi, Jason Porter, Ying Luo, Ju Shen |
10.5120/ijca2023922816 |
Jianjun Yang, Mingyuan Yan, Abi Salimi, Jason Porter, Ying Luo, Ju Shen . A Mechanism on Video Tracking and Recognition with Fast Transmission in Wireless Communications. International Journal of Computer Applications. 185, 14 ( Jun 2023), 1-8. DOI=10.5120/ijca2023922816
In recent years, video-based object tracking and recognition have become critical research areas in computer vision and network communication systems. This paper proposes a novel method for video-based object tracking and recognition over fast network transmission using newly developed improved CAMSHIFT and Meanshift algorithms. The new mechanism is not only applies to single object tracking and recognition, but also to multiple objects and objects with motion. The proposed system also utilizes a wireless network to transmit video streams from remote devices to a central server where the tracking and recognition processes take place. The developed approach has several advantages, including the ability to track objects in real-time over wireless networks with low latency and high reliability. The proposed system can be applied in various applications, such as security surveillance, traffic monitoring, and human-computer interaction. In addition, an efficient and effective implementation is designed utilizing a wireless network to transmit video streams where the tracking and recognition processes take place.