# Object Tracking Our solution features automatic object tracking in videos to ensure that moving objects are reliably detected and anonymised. ### Understanding Object Tracking Object tracking is a computer vision technique that follows objects as they move across frames in a video. We use object tracking in conjunction with our object detection algorithm. The object detection model identifies objects of interest (such as faces or license plates) in each frame. Then, the object tracking algorithm tracks these objects across frames, ensuring they are consistently anonymized even if they temporarily disappear from view. ### Benefits of Object Tracking * **Reduced Flickering:** Object tracking significantly reduces the occurrence of flickering detections, where an object is anonymized in one frame and then reappears unanonymized in the next. This improves the overall quality and consistency of the anonymized video. * **Improved Accuracy:** By tracking objects across frames, our object tracking feature can help to correct errors in the object detection process. This leads to more accurate and reliable anonymization. ### How to Use Object Tracking in Celantur Object tracking is enabled by default for **video anonymisation**. You can disable it using `--no-object-tracking` as a command-line argument in [batch-and-stream-mode](https://doc.celantur.com/container/usage/batch-and-stream-mode "mention") or `no-object-tracking`as query parameter in [rest-api-v1-mode](https://doc.celantur.com/container/usage/rest-api-v1-mode "mention"). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://doc.celantur.com/container/usage/object-tracking.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.