Ways to improve Trackers tracking stability
In order to enhance the stability of Trackers during target tracking, the following measures can be taken:
- Adjustment of detection model parameters: Increasing the confidence threshold of the detection model (e.g., setting it to 0.7) filters out low-quality detections and reduces false tracking.
- Optimization of tracker parameters: Increase SORT/DeepSORT as appropriate.
track_bufferparameter, which reduces ID switching caused by the brief disappearance of the target. - Use of more accurate detection models: More accurate detection results can be obtained by using a more powerful detection model (e.g., YOLOv8l instead of YOLOv11m).
- Data preprocessing: Image enhancement processing (e.g., denoising, contrast adjustment) of the input video can improve detection.
In practice, it is recommended to experiment to find the parameter combination that best suits a particular scenario.
This answer comes from the articleTrackers: open source tool library for video object trackingThe
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