In crowded settings,mobile robots face challenges like target disappearance and occlusion,impacting tracking performance.Despite existing optimisations,tracking in complex environments remains insufficient.To address ...In crowded settings,mobile robots face challenges like target disappearance and occlusion,impacting tracking performance.Despite existing optimisations,tracking in complex environments remains insufficient.To address this issue,the authors propose a tailored visual navigation tracking system for crowded scenes.For target disappearance,an autonomous navigation strategy based on target coordinates,utilising a path memory bank for intelligent search and re‐tracking is introduced.This significantly enhances tracking success.To handle target occlusion,the system relies on appearance features extracted by a target detection network and a feature memory bank for enhanced sensitivity.Servo control technology ensures robust target tracking by fully utilising appearance information and motion characteristics,even in occluded scenarios.Comprehensive testing on the OTB100 dataset validates the system's effectiveness in addressing target tracking challenges in diverse crowded environments,affirming algorithm robustness.展开更多
基金Key Discipline Project of Smart Animal Husbandry,Grant/Award Number:XJXK202201Henan Province Science and Technology Research Projects,Grant/Award Number:232102210101。
文摘In crowded settings,mobile robots face challenges like target disappearance and occlusion,impacting tracking performance.Despite existing optimisations,tracking in complex environments remains insufficient.To address this issue,the authors propose a tailored visual navigation tracking system for crowded scenes.For target disappearance,an autonomous navigation strategy based on target coordinates,utilising a path memory bank for intelligent search and re‐tracking is introduced.This significantly enhances tracking success.To handle target occlusion,the system relies on appearance features extracted by a target detection network and a feature memory bank for enhanced sensitivity.Servo control technology ensures robust target tracking by fully utilising appearance information and motion characteristics,even in occluded scenarios.Comprehensive testing on the OTB100 dataset validates the system's effectiveness in addressing target tracking challenges in diverse crowded environments,affirming algorithm robustness.
