Moving Target Tracking Under Occlusion Using Dynamic Retracing
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Solution Overview
Problem
Existing object tracking systems face challenges in real-time tracking of moving target objects due to occlusions, background clutter, lighting changes, and dynamic conditions, leading to reduced efficiency and increased complexity in visibility conditions.
Innovation Solution
A method and system for real-time tracking of moving target objects that detects occlusions and adjusts its movement based on potential locations, preceding movements, and positions, using stored data to retrace the object and overcome occlusions, thereby maintaining efficient tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deep learning methods and powerful edge computing devices are used for real-time object detection, then detection capability is improved, but time consumption increases and efficiency decreases when objects are moving and occluded
Solution Approach 1:
The system performs preliminary actions by storing historical movement data, potential locations, and occlusion information before occlusion occurs. When occlusion is detected, the tracking system retrieves pre-computed potential locations and movement patterns, avoiding the need for complex real-time detection during occlusion events, thus maintaining high tracking efficiency while preserving detection capability.
2Reliability
If complex visibility conditions and occlusions are handled by existing robotic tracking systems, then tracking robustness is improved, but system complexity increases
Solution Approach 1:
The system introduces an intermediary occlusion handling module that mediates between the object detection module and the tracking module. This intermediary layer manages occlusion detection, retrieves historical data, determines potential locations, and controls system movement, thereby improving tracking robustness during occlusion without significantly increasing overall system complexity through modular design.
3Measurement precision
If the tracking system continuously monitors and detects occlusions in real-time, then tracking accuracy is improved, but computational load and processing time increase
Solution Approach 1:
The system implements a selective monitoring approach where full occlusion detection and complex processing are skipped when no occlusion is present. Instead, the system uses efficient real-time indicators to detect occlusion events, then rushes through the occlusion handling process by retrieving pre-stored historical data and potential locations, thereby maintaining high tracking accuracy while minimizing processing time during normal operation.
Data Source
AI summary
Embodiments of present disclosure relates to method and system for real-time tracking of moving target object. Initially, occlusion in view of real-time tracking of moving target object is detected. Occlusion comprises one of complete occlusion and partial occlusion in the view. Further, upon detection and until moving target object is retraced by overcoming the occlusion, at least one subsequent movement of object tracking system for retracing the moving target object and direction of movement of the object tracking system is varied based on at least one subsequent movement. The at least one subsequent movement is determined based on at least one of one or more potential locations associated with moving target object, one or more preceding movements and one or more preceding positions of real-time tracking of moving target object, or movement data associated with occlusion. The present disclosure provisions dynamic retracing of moving target object with presence of occlusion.