WebDanceTrack is a multi-human tracking dataset with two emphasized properties, (1) uniform appearance: humans are in highly similar and almost undistinguished appearance, (2) diverse motion: humans are in complicated motion pattern and their relative positions exchange frequently. http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2024030426
[2202.13514] StrongSORT: Make DeepSORT Great Again - arXiv.org
WebFeb 28, 2024 · Specifically, unlike most methods, which associate short tracklets into complete trajectories at high computation complexity, we propose an appearance-free link model (AFLink) to perform global association without appearance information, and achieve a good balance between speed and accuracy. WebByteTrack: Multi-object Tracking by Associating Every Detection Box Pages 1–21 Abstract Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos. Most methods obtain identities by associating detection boxes whose scores are higher than a threshold. play dragon ball fierce fighting
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
WebAug 8, 2024 · ByteTrack is an IoU-based association algorithm. Most methods obtain identities by associating detection boxes whose scores are higher than a threshold. The … WebNov 18, 2024 · ReID features in ByteTrack The Reid features from the class index are mapped into pixel-wise distribution from the last layer of the transformer–decoder. ... In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 20–25 June 2024; pp. 10953–10962. ... WebNov 18, 2024 · It can be seen from Table 3 that ByteTrack with NSA Kalman filter performs better than the other three methods on the test sets. FairMOT performs poorly when objects are very similar due to the application of appearance features. Therefore, it is easier to obtain better results by using motion features on our dataset. ... (CVPR 2009). 953 ... play do you believe in magic