Real-Time Multi-Object Detection and Tracking Using YOLO and DeepSORT

Original price was: ₹6,999.00.Current price is: ₹3,999.00. inc GSTs*

Maintaining persistent identity for multiple moving objects in crowded surveillance footage is computationally challenging. Standard detection models lack temporal consistency, requiring an integrated framework that combines high-speed detection with robust motion-based tracking to handle occlusions and varying camera angles.

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This project integrates the YOLO (You Only Look Once) detector with the DeepSORT (Simple Online and Realtime Tracking with a Deep Association Metric) algorithm. The system detects multiple object classes in video frames and assigns unique IDs that persist across the temporal domain. By utilizing appearance descriptors and Kalman filtering, the tracker remains resilient during object occlusions. Applications include urban traffic monitoring, crowd management in public spaces, and automated security surveillance, providing high-accuracy analytics on object movement and dwell times.

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Real-Time Multi-Object Detection and Tracking Using YOLO and DeepSORT

Real-Time Multi-Object Detection and Tracking Using YOLO and DeepSORT

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