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CV-advance_object_tracking

Notebook-based multi-object detection and tracking project using Faster R-CNN on the MOT20 dataset.

What the notebook covers

  • Setup and MOT20 data download/preprocessing
  • Faster R-CNN (ResNet-50 FPN) initialization and fine-tuning for person detection
  • Temporal consistency filtering to reduce unstable detections
  • SORT tracking with Kalman filter + IoU association
  • Baseline vs fine-tuned evaluation with Precision, Recall, F1, mAP, MOTA, and MOTP
  • Visual analysis of detections, tracks, ID switches, and comparison plots

Main file: advance_object_detection_fasterRCNN.ipynb

About

An advanced multi-object detection and tracking system built on Faster R-CNN, designed to accurately identify and follow objects across video streams in real time. It integrates temporal consistency checks and adaptive tracking mechanisms to improve robustness and performance in dynamic, complex environments.

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