Our New article on Medium Demonstrating How to Track Oriented Objects With Similari and the SORT Tracker Algorithm

Oriented or rotated object tracking can be necessary in situations where objects of interest can be present in various orientations in the image or video footage. This can occur, for example, when tracking vehicles, where the orientation of the car may vary as it moves around in the scene.

Similarly, when tracking people, their orientation may change as they move and turn. In such cases, using an oriented bounding box to track the object can improve the accuracy of the tracking results. Additionally, oriented object tracking can also be useful in applications such as surveillance, robotics, and autonomous vehicles.

While tracking objects with axis-aligned bounding boxes is well-known, the need for rotation-aware detectors is becoming crucial for certain object classes. These detectors produce oriented bounding boxes that consist of five values, including center coordinates, width, height, and angle. This type of tracking presents a unique set of challenges, but special models like RAPiD and rotation-aware SORT tracker provide a solution. The task is often meet in industrial environments and other situations where cameras observe objects from bird’s eye perspective.

The Similari SORT tracker is 5-7 times faster than other open-source competitors on MOT benchmarks. Performance is critical for multiple object tracking because it directly affects the speed and responsiveness of the tracking system. A high-performance tracking system can quickly and efficiently detect and track multiple objects in real-time, providing timely and accurate information for various applications such as surveillance, autonomous vehicles, and robotics. On the other hand, a poorly performing tracking system can result in slow response times, causing delays and potentially dangerous situations. Therefore, to ensure efficient and effective tracking of multiple objects, performance in terms of speed and responsiveness is crucial.

Learn how to use Python, the RAPiD model and a rotation-aware Similari SORT tracker to track objects in fisheye camera footage.

Discover more about this cutting-edge tracking technique in our article on Medium.