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Object detectors like YOLO and EfficientDet, when used independently on video frames, often cause flickering detections due to position jitter, confidence fluctuation, and existence flicker, which can be problematic in applications requiring stability, such as robotics or security systems. To mitigate this, a temporal consistency layer is essential, with strategies like the One Euro Filter to smooth bounding box coordinates and prevent jitter, and ByteTrack for maintaining object identity by intelligently handling low-confidence detections. Additionally, logical debouncing methods such as hysteresis thresholding and N-out-of-M confirmation help stabilize the detection state by preventing rapid toggling and preserving object identity during temporary occlusions. This comprehensive approach ensures that the pipeline maintains temporal consistency, crucial for effective real-time applications on resource-constrained hardware.

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