Jednostepeni i dvostepeni trekeri više objekata
Ključne reči:
Praćenje objekata;, YOLOv5, DeepSORT, FairMOT, HOTA
Apstrakt
Opisan je problem praćenja objekata sa dvostepenim i jednostepenim trekerima. Performanse trekera merene su sa više različitih metrika: MOTA, IDF1, HOTA i pod-metrika HOTA. Parametri sistema su varirani u cilju izbora optimalnog rešenja.
Reference
[1] Zaidi, Syed Sahil Abbas, et al. "A survey of modern deep learning based object detection models." Digital Signal Processing (2022): 103514.
[2] Bochinski, Erik, Volker Eiselein, and Thomas Sikora. "High-speed tracking-by-detection without using image information." 2017 14th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, 2017.
[3] Munjal, Bharti, et al. "Joint detection and tracking in videos with identification features." Image and Vision Computing 100 (2020): 103932.
[4] Zhang, Yifu, et al. "Fairmot: On the fairness of detection and re-identification in multiple object tracking." International Journal of Computer Vision 129.11 (2021): 3069-3087.
[5] Zhou, Xingyi, Dequan Wang, and Philipp Krähenbühl. "Objects as points." arXiv preprint arXiv:1904.07850 (2019).
[6] Wojke, Nicolai, Alex Bewley, and Dietrich Paulus. "Simple online and realtime tracking with a deep association metric." 2017 IEEE international conference on image processing (ICIP). IEEE, 2017.
[7] Zheng, Zhedong, Liang Zheng, and Yi Yang. "A discriminatively learned cnn embedding for person reidentification." ACM transactions on multimedia computing, communications, and applications (TOMM) 14.1 (2017): 1-20.
[8] https://motchallenge.net/data/MOT16/ (10. okt. 2022)
[9] Luiten, Jonathon, et al. "Hota: A higher order metric for evaluating multi-object tracking." International journal of computer vision 129.2 (2021): 548-578.
[2] Bochinski, Erik, Volker Eiselein, and Thomas Sikora. "High-speed tracking-by-detection without using image information." 2017 14th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, 2017.
[3] Munjal, Bharti, et al. "Joint detection and tracking in videos with identification features." Image and Vision Computing 100 (2020): 103932.
[4] Zhang, Yifu, et al. "Fairmot: On the fairness of detection and re-identification in multiple object tracking." International Journal of Computer Vision 129.11 (2021): 3069-3087.
[5] Zhou, Xingyi, Dequan Wang, and Philipp Krähenbühl. "Objects as points." arXiv preprint arXiv:1904.07850 (2019).
[6] Wojke, Nicolai, Alex Bewley, and Dietrich Paulus. "Simple online and realtime tracking with a deep association metric." 2017 IEEE international conference on image processing (ICIP). IEEE, 2017.
[7] Zheng, Zhedong, Liang Zheng, and Yi Yang. "A discriminatively learned cnn embedding for person reidentification." ACM transactions on multimedia computing, communications, and applications (TOMM) 14.1 (2017): 1-20.
[8] https://motchallenge.net/data/MOT16/ (10. okt. 2022)
[9] Luiten, Jonathon, et al. "Hota: A higher order metric for evaluating multi-object tracking." International journal of computer vision 129.2 (2021): 548-578.
Objavljeno
2023-03-06
Sekcija
Elektrotehničko i računarsko inženjerstvo
