A Novel Target Tracking System for the Amphibious Robot based on Improved Camshift Algorithm

2021 ◽  
Author(s):  
Shuxiang Guo ◽  
Handong Cheng ◽  
Jian Guo ◽  
Jigang Xu
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Camshift Algorithm ◽  
Novel Target ◽  
Amphibious Robot

An Industrial Production Line Dynamic Target Tracking System Based on HAAR and CAMSHIFT

2020 ◽  
Vol 34 (11) ◽  
pp. 2059037
Author(s):  
Xuejun Tian ◽  
Haowen Feng ◽  
Jieyan Chen
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Raspberry Pi ◽  
Automation System ◽  
Moving Targets ◽  
Embedded Platform ◽  
System A ◽  
Detection And Tracking ◽  
Camshift Algorithm ◽  
Dynamic Target

Aiming at the detection and tracking of moving targets in industrial automation system, a dynamic target tracking algorithm based on HAAR and CAMSHIFT is proposed. A cascade HAAR classifier is designed and trained for tracking targets. CAMSHIFT algorithm is used to track and detect moving targets quickly. The system is tested on Raspberry Pi embedded platform. The results show that the algorithm can detect the target correctly and track the target effectively.

Target Tracking Based on Improved Camshift and Kalman Filter

2014 ◽  
Vol 989-994 ◽  
pp. 3587-3590
Author(s):  
Li Ying Ban ◽  
Yue Hua Han ◽  
Yan Hai Wu
Keyword(s):  
Kalman Filter ◽  
Target Tracking ◽  
Target Object ◽  
Tracking Algorithm ◽  
Color Target ◽  
Motion Cues ◽  
Target Model ◽  
Camshift Algorithm ◽  
Novel Target

A tracking algorithm based on improved Camshift and Kalman filter is proposed in this paper to deal with the problems in traditional Camshift algorithm, such as tracking failure under color interference or occlusion. Firstly, the proposed algorithm improves the single color target model and presents a novel target model, which fuses color and motion cues, to enhance the robustness and accuracy of target tracking. And in order to increase the tracking efficiency, the algorithm combines Kalman filter with the improved Camshift algorithm by using Kalman filter to predict the position of the tracking target under color noises and occlusion. The experiment results demonstrate that the proposed algorithm can track the target object accurately and has better robustness.

scholarly journals Performance Verification of a Target Tracking System With a Laser Rangefinder

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 30993-31009
Author(s):  
Jihoon Lee ◽  
Suwon Lee ◽  
Youngjun Lee ◽  
Youdan Kim ◽  
Yongjun Heo ◽  
...  
Keyword(s):  
Target Tracking ◽  
Tracking System ◽  
Laser Rangefinder ◽  
Performance Verification
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