Multitarget Tracking Algorithm Based on an Improved YOLOv3 Algorithm

Xiangsheng Zhang; Qing Shen

doi:10.3788/LOP202158.1610004

[1] Wang H Y, Wang L, Yin W R et al. Multi-scale correlation filtering visual tracking algorithm combined with target detection[J]. Acta Optica Sinica, 39, 0115004(2019).

[2] Liu M J, Cao Y Z, Zhu S Y et al. Feature fusion video target tracking method based on convolutional neural network[J]. Laser & Optoelectronics Progress, 57, 041502(2020).

[3] Ju M R, Luo J N, Wang Z B et al. Multi-scale target detection algorithm based on attention mechanism[J]. Acta Optica Sinica, 40, 1315002(2020).

[4] Li X C, Liu X M, Cheng X N. A multi-target tracking algorithm based on YOLO detection[J]. Computer Engineering & Science, 42, 665-672(2020).

[5] Li C Y, Yao J M, Lin Z X et al. Object detection method based on improved YOLO lightweight network[J]. Laser & Optoelectronics Progress, 57, 141003(2020).

[6] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. //2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA., 580-587(2014).

[7] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

[8] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. //Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Lecture notes in computer science, 9905, 21-37(2016).

[9] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA, 779-788(2016).

[10] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 6517-6525(2017).

[11] Redmon J, Farhadi A. YOLOv3: an incremental improvement[EB/OL]. (2018-04-08)[2020-10-05]. https://arxiv.org/abs/1804.02767

[12] Ju M R, Luo H B, Wang Z B et al. Improved YOLOv3 algorithm and its application in small target detection[J]. Acta Optica Sinica, 39, 0715004(2019).

[13] Yuan D L, Ji Q G. Multiple object tracking algorithm via collaborative motion status estimation[J]. Computer Science, 44, 154-159(2017).

[14] Ren J M, Gong N S, Han Z Y. Multi-target tracking algorithm based on YOLOv3 and Kalman filter[J]. Computer Applications and Software, 37, 169-176(2020).

[15] Leal-Taixé L, Canton-Ferrer C, Schindler K. Learning by tracking: siamese CNN for robust target association[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 26-July 1, 2016, Las Vegas, NV, USA, 418-425(2016).

[16] Mahmoudi N, Ahadi S M, Rahmati M. Multi-target tracking using CNN-based features: CNNMTT[J]. Multimedia Tools and Applications, 78, 7077-7096(2019).

[17] Wojke N, Bewley A, Paulus D. Simple online and realtime tracking with a deep association metric[C]. //2017 IEEE International Conference on Image Processing (ICIP), September 17-20, 2017, Beijing, China., 3645-3649(2017).

[18] Bewley A, Ge Z Y, Ott L et al. Simple online and realtime tracking[C]. //2016 IEEE International Conference on Image Processing (ICIP), September 25-28, 2016, Phoenix, AZ, USA., 3464-3468(2016).

[19] Ji X S, Teng B. Detection of abnormal escalator behavior based on deep neural network[J]. Laser & Optoelectronics Progress, 57, 061010(2020).

[20] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C]. //2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 7132-7141(2018).

[21] Neubeck A, van Gool L. Efficient non-maximum suppression[C]. //18th International Conference on Pattern Recognition (ICPR’06), August 20-24, 2006, Hong Kong, China., 850-855(2006).

[22] Chen L, Ai H Z, Zhuang Z J et al. Real-time multiple people tracking with deeply learned candidate selection and person re-identification[C]. //2018 IEEE International Conference on Multimedia and Expo (ICME), July 23-27, 2018, San Diego, CA, USA., 1-6(2018).

[23] Xiang Y, Alahi A, Savarese S. Learning to track: online multi-object tracking by decision making[C]. //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile, 4705-4713(2015).