DeepSORT based Tracking is based on the following steps:
Detection: Before objects can be tracked in each frame, they must be detected. This is done using a standard object detector like Faster R-CNN.
Feature Extraction: Extract features from the detected objects. These features will help to match objects across frames.
Data Association: Match detected objects with tracked objects from previous frames using both the bounding box overlap (using the Hungarian algorithm) and the feature similarity.
Track Management: Update tracks or create/delete tracks as necessary.
Tasks: Object Detection, Feature Extraction, Multimodal
Task Categories: Computer Vision
Published: 09/29/23