[1] XIAO S,MA Y,FAN F,et al. Tracking small targets in infrared image sequences under complex environmental conditions[J]. Infrared Physics and Technology,2020,104:No. 103102. [2] 种衍文, 王泽文, 陈蓉, 等. 一种多特征自适应融合的粒子滤波红外目标跟踪方法[J]. 武汉大学学报(信息科学版),2016,41(5):598-604.(CHONG Y W,WANG Z W,CHEN R,et al. A particle filter infrared target tracking method based on multi-feature adaptive fusion[J]. Geomatics and Information Science of Wuhan University,2016,41(5):598-604) [3] WEI Y,YOU X,LI H. Multiscale patch-based contrast measure for small infrared target detection[J]. Pattern Recognition,2016, 58:216-226. [4] ZHOU H, OUYANG W, CHENG J, et al. Deep continuous conditional random fields with asymmetric inter-object constraints for online multi-object tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology,2019,29(4):1011-1022. [5] WANG X, FAN B, CHANG S, et al. Greedy batch-based minimum-cost flows for tracking multiple objects[J]. IEEE Transactions on Image Processing,2017,26(10):4765-4776. [6] DEHGHAN A,ASSARI S M,SHAH M. GMMCP tracker:globally optimal generalized maximum multi clique problem for multiple object tracking[C]//Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE, 2015:4091-4099. [7] BOCHINSKI E,EISELEIN V,SIKORA T. High-speed trackingby-detection without using image information[C]//Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance. Piscataway:IEEE,2017:1-6. [8] WOJKE N,BEWLEY A,PAULUS D. Simple online and realtime tracking with a deep association metric[C]//Proceedings of the 2017 IEEE International Conference on Image Processing. Piscataway:IEEE,2017:3645-3649. [9] MUNKRES J. Algorithms for the assignment and transportation problems[J]. Journal of the Society for Industrial and Applied Mathematics,1957,5(1):32-38. [10] BAE S H,YOON K J. Confidence-based data association and discriminative deep appearance learning for robust online multiobject tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2018,40(3):595-610. [11] LIU M,JIN C B,YANG B,et al. Online multiple object tracking using confidence score-based appearance model learning and hierarchical data association[J]. IET Computer Vision,2019,13(3):312-318. [12] TIAN Y, DEHGHAN A, SHAH M. On detection, data association and segmentation for multi-target tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2019, 41(9):2146-2160. [13] LI H,JIANG N,SUN C,et al. Learning deep appearance feature for multi-target tracking[C]//Proceedings of the 2017 International Conference on Virtual Reality and Visualization. Piscataway:IEEE,2017:7-12. [14] WANG J,ZENG X,AN W. Convolutional neural network-based simple online multiple object tracking[C]//Proceedings of the IEEE 4th International Conference on Computer and Communications. Piscataway:IEEE,2018:2091-2094. [15] ZHAO D,GU L,QIAN K,et al. Target tracking from infrared imagery via an improved appearance model[J]. Infrared Physics and Technology,2020,104:No. 103116. [16] LU W,ZHOU Z,ZHANG L,et al. Multi-target tracking by nonlinear motion patterns based on hierarchical network flows[J]. Multimedia Systems,2019,25(4):383-394. [17] 张丽娟, 周治平. 基于网络流的分层关联多目标跟踪[J]. 计算机辅助设计与图形学学报,2018,30(9):1670-1677.(ZHANG L J,ZHOU Z P. Multiple target tracking using hierarchical data association based on network flows[J]. Journal of Computer-Aided Design and Computer Graphics,2018,30(9):1670-1677.) [18] JU J,KIM D,KU B,et al. Online multi-person tracking with twostage data association and online appearance model learning[J]. IET Computer Vision,2017,11(1):87-95. [19] BORAGULE A,JEON M. Joint cost minimization for multi-object tracking[C]//Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance. Piscataway:IEEE,2017:1-6. [20] SON J,BAEK M,CHO M,et al. Multi-object tracking with quadruplet convolutional neural networks[C]//Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE,2017:3786-3795. [21] FENG W,HU Z,WU W,et al. Multi-object tracking with multiple cues and switcher-aware classification[EB/OL].[2020-03-20]. https://arxiv.org/pdf/1901.06129.pdf. [22] KEUPER M,TANG S,ANDRES B,et al. Motion segmentation & multiple object tracking by correlation co-clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2020, 42(1):140-153. |