Top 7 Open Source Object Tracking Tools [2025]

Object tracking is a crucial task in computer vision that identifies and tracks objects through video frames, with significant applications in manufacturing and logistics. Over the years, object tracking has evolved from relying on basic techniques like background subtraction to incorporating advanced machine learning and deep learning methods, such as CNNs and RNNs, which have enhanced accuracy and adaptability. Today’s systems can track multiple objects simultaneously and adapt to new environments, using algorithms that combine object detection and tracking. Key techniques include feature extraction, motion estimation, data association, and re-identification, which are implemented in various open-source tools like ByteTrack, Norfair, MMTracking, DeepSORT, FairMOT, BoT-SORT, and StrongSORT. These tools provide diverse functionalities, from handling occlusions to enabling multi-camera tracking, making them suitable for applications in surveillance, traffic monitoring, and more. Despite advancements, challenges such as occlusion, lighting variability, and scalability remain, but ongoing developments promise further improvements in object tracking capabilities.