Optics and Precision Engineering, Volume. 31, Issue 6, 860(2023)
Multi-object pedestrian tracking method based on improved high resolution neural network
[1] [1] 1曹自强, 赛斌, 吕欣. 行人跟踪算法及应用综述[J]. 物理学报, 2020, 69(8): 41-58. doi: 10.7498/aps.69.20191721CAOZ Q, SAI B, LÜX. Review of pedestrian tracking: Algorithms and applications[J]. Acta Physica Sinica, 2020, 69(8): 41-58.(in Chinese). doi: 10.7498/aps.69.20191721
[2] LAW H, DENG J. CornerNet: Detecting objects as paired keypoints[J]. International Journal of Computer Vision, 128, 642-656(2020).
[4] WANG J D, SUN K, CHENG T H et al. Deep high-resolution representation learning for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 3349-3364(2021).
[5] ZHAN Y, WANG C, WANG X et al. A simple baseline for multi-object tracking[J]. arXiv preprint arXiv, 2020.
[8] [8] 8张红颖, 贺鹏艺. 基于卷积注意力模块和无锚框检测网络的行人跟踪算法[J]. 电子与信息学报, 2022, 44(9): 3299-3307. doi: 10.11999/JEIT210634ZHANGH Y, HEP Y. Pedestrian tracking algorithm based on convolutional block attention module and anchor-free detection network[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3299-3307.(in Chinese). doi: 10.11999/JEIT210634
[9] WANG Q L, WU B G, ZHU P F et al. ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks[C], 11531-11539(2020).
[10] GAO S H, CHENG M M, ZHAO K et al. Res2Net: a new multi-scale backbone architecture[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 652-662(2021).
[11] XIAO T, LI S, WANG B C et al. Joint Detection and Identification Feature Learning for Person Search[C], 3376-3385(2017).
[12] ZHENG L, ZHANG H H, SUN S Y et al. Person Re-identification in the Wild[C], 3346-3355(2017).
[15] WOJKE N, BEWLEY A, PAULUS D. Simple Online and Realtime Tracking with a Deep Association Metric[C], 3645-3649(2018).
[16] [16] 16曾公任, 姚剑敏, 严群, 等. 基于神经网络与卡尔曼滤波的手部实时追踪方法[J]. 液晶与显示, 2020, 35(5): 464-470. doi: 10.3788/yjyxs20203505.0464ZENGG R, YAOJ M, YANQ, et al. Hand real-time tracking method based on neural network and Kalman filter[J]. Chinese Journal of Liquid Crystals and Displays, 2020, 35(5): 464-470.(in Chinese). doi: 10.3788/yjyxs20203505.0464
[18] PANG B, LI Y Z, ZHANG Y F et al. TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model[C], 6307-6317(2020).
[19] LIANG C, ZHANG Z P, ZHOU X et al. Rethinking the competition between detection and ReID in multiobject tracking[J]. IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society, 31, 3182-3196(2022).
Get Citation
Copy Citation Text
Hongying ZHANG, Pengyi HE, Xiaowen PENG. Multi-object pedestrian tracking method based on improved high resolution neural network[J]. Optics and Precision Engineering, 2023, 31(6): 860
Category: Information Sciences
Received: May. 26, 2022
Accepted: --
Published Online: Apr. 4, 2023
The Author Email: Hongying ZHANG (carole_zhang0716@163.com)