Object Tracking System Using Dynamic Priority States
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Solution Overview
Problem
Existing object tracking technologies face challenges in accurately and stably tracking moving objects, especially when multiple objects are present or when the tracker itself is moving, due to interference and unstable object movements.
Innovation Solution
The method involves selecting high-priority objects based on stable and continuous movement features, calculating confidence levels using historical and coexistence information, and dynamically updating priority states to ensure accurate tracking by distinguishing between reliable and unreliable high-priority objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If moving object detection is performed in continuous frames using a camera equipped tracker, then tracking can be performed in real-time, but the tracking accuracy deteriorates due to the movement of the tracker itself and interference from other moving objects
Solution Approach 1:
The patent implements feedback mechanisms by continuously evaluating detection results and adjusting tracking parameters based on detected object positions and movements. The system uses detection feedback to compensate for tracker movement and maintain accurate tracking despite the tracker's own motion and environmental interference.
Solution Approach 2:
The patent dynamically changes tracking parameters such as search window size, detection thresholds, and evaluation criteria based on object characteristics and environmental conditions. This allows the system to adapt to different scenarios and maintain high tracking accuracy while operating in real-time.
2Productivity
If detection is performed in a certain range around a previously detected object, then tracking efficiency is improved, but tracking reliability deteriorates when objects move unstably or are shielded
Solution Approach 1:
The patent employs dynamic search ranges that adapt to object movement patterns and environmental conditions. The search window size and detection range are automatically adjusted based on object velocity, acceleration, and occlusion detection, allowing the system to maintain both efficiency and reliability in varying scenarios.
Solution Approach 2:
The patent performs preliminary detection and evaluation in expanded ranges before final tracking confirmation. By pre-identifying potential target positions and evaluating multiple hypotheses, the system ensures reliable tracking even when objects move unstably or are temporarily shielded.
3Adaptability or versatility
If multiple moving objects are tracked simultaneously, then comprehensive monitoring is achieved, but tracking accuracy deteriorates due to interference between objects
Solution Approach 1:
The patent segments the tracking process by assigning unique identifiers and separate tracking parameters to each detected object. The system divides the monitoring space into multiple tracking zones and applies object-specific detection algorithms, preventing interference between simultaneously tracked objects while maintaining individual tracking accuracy.
Solution Approach 2:
The patent introduces intermediary evaluation mechanisms that resolve conflicts between multiple tracked objects. When objects are in proximity or potential occlusion is detected, the system uses intermediary detection steps and cross-validation to maintain accurate tracking of all objects without mutual interference.
Data Source
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AI summary
A method and an apparatus for tracking objects are disclosed. The method includes selecting objects which are located right in front of an object tracking apparatus, stably move, and continuously appear, as high-priority objects, from the objects to be tracked; selecting high-priority objects whose movement is continuous and stable, and coincides with movement of another high-priority object, as reliable high-priority objects, from the high-priority objects; and tracking the reliable high-priority objects.