The Research of Bionic Robot Dynamic Target Tracking System

Abstract

In order to improve the quality of the bionic robot vision tracking, the new automatic tracking algorithm system is proposed in this paper. Based on the completed system hardware design and implementing scheme, the scene noise is removed by adaptive wiener filtering. Through the improved sequential particle filter algorithm, the dynamic target tracking is realized. The experiment result shows that the improved algorithm system still can lock the dynamic target accurately under the condition of that the outer contour of target changing and the partial occlusion existing.

Target Tracking Method for Transmission Line Moving Operation Based on Inspection Robot and Edge Computing

“…To prove the advantages of the proposed method more definitively, it is necessary to compare the method with others. The best methods for comparison are the TT method built by Li et al, (2020) based on the classic YOLOv3 model; the TT method proposed by Wang & Chang, (2021) In Figure 9 and Figure 10, the proposed mobile job TT algorithm has the highest precision, recall, accuracy, and comprehensive evaluation index F1 compared with the other three algorithms, reaching 93.8%, 90.2%, 83.8%, and 89.8% to the respective category. Compared with the maximum value among the other three methods, the proposed method is superior by 4.41%, 5.06%, 9.15%, and 8.33%.…”

“…However, the problem of target dislocation caused by large occlusion cannot be completely solved. Wang and Chang (2021) realized the accurate compensation of moving background based on symmetrical matching, adaptive outer point filtering, and gave the corresponding accurate target detection and tracking methods. Based on this method, a hexapod robot is designed to achieve dynamic target tracking.…”