Improved Long Time Tracking Algorithm by Combining BRISK and Region Estimation

Hailin Kang; Ting Zhao; Hua Zhou; Qiao Liu; Zhengping Zhang

doi:10.3788/LOP55.061503

[1] Dong Y K, Wang C X, Xue L J et al. Pedestrian detection and tracking based on TLD framework[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 41, 226-228(2013).

[2] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 34, 1409-1422(2012).

[3] Qin F, Wang R G, Liang Q X et al. A Improved TLD target tracking algorithm based on key feature points[J]. Computer Engineering and Applications, 52, 181-187(2016).

[4] Yi S, Lin F Q, Zhou S Y. Automatic tracking method based on improved TLD[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 28, 892-896(2016).

[5] Jin Z, Liu C C. Accelerated TLD algorithm and its application in multiple target tracking[J]. Computer System and Applications, 25, 196-201(2016).

[6] Jiao P F, Qin P L, Miao Q G et al. Improved TLD algorithm based on multi-innovation Kalman filter[J]. Journal of Data Acquisition and Processing, 31, 592-598(2016).

[7] Xiao Q G, Ye Q W, Zhou Y et al. Long-time video tracking algorithm of optimized TLD based on Mean-Shife[J]. Computer Application Research, 32, 925-928(2015).

[8] Sun B J. Zhang B, song C, et al. Improved TLD object tracking algorithm based on corner reinforced[J]. Chinese Journal of Liquid Crystals and Displays, 31, 921-928(2016).

[9] Shi H, Lin Z, Tang W et al. A robust hand tracking approach based on modified tracking-learning-detection algorithm[J]. Lecture Notes in Electrical Engineering, 308, 9-15(2014).

[10] Zhu X T, Shi F H. Improved tracking learning detection method based on BRISK keypoints[J]. Computer Engineering, 43, 268-272(2017).

[11] Meng Y, Zhang B. A multiple-object tracking algorithm using TLD-based adaptive adjustment of detection areas[J]. Journal of Northeastern University (Natural Science Edition), 38, 214-218(2017).

[12] Lu B, Gu S H. Object tracking algorithm based on hidden Markov model and block feature matching[J]. Laser & Optoelectronics Progress, 54, 091006(2017).

[13] Zhou X, Qian Q M, Ye Y Q et al. Improved TLD visual target tracking algorithm[J]. Journal of Image and Graphics, 18, 1115-1123(2013).

[14] Cai R T, Zhu P. Face tracking with multi-feature based on Markov random field[J]. Laser & Optoelectronics Progress, 54, 021002(2017).

[15] Huang C, Li Y, Nevatia R. Multiple target tracking by learning-based hierarchical association of detection responses[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 35, 898-910(2013). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2012.159

[16] Kang Z, Landry S J. Using scanpaths as a learning method for a conflict detection task of multiple target tracking[J]. Pattern Recognition and Artificial Intelligence, 56, 1150-1162(2014).

[17] Zhang B, Long H. Visual target tracking algorithm based on image signature algorithm[J]. Laser & Optoelectronics Progress, 54, 091504(2017).

[18] Zhou Z P, Zhou M Z, Li W H. Object tracking algorithm based on hybrid particle filter and sparse representation[J]. Pattern Recognition and Artificial Intelligence, 29, 22-30(2016). http://link.springer.com/10.1007/s11042-015-3211-3

[19] Hare S, Saffari A. Torr P H S. Struck:structured output tracking with kernels[C]. IEEE International Conference on Computer Vision, 263-270(2012).