压缩域目标跟踪算法在小型化DSP平台上的研究与实现
[1] 贾桂敏. 基于物体局部信息的跟踪算法研究[D]. 天津: 天津大学, 2008.
Jia Guimin. Research of target tracking based on local infor-mation[D]. Tianjin: Tianjin University, 2008.
[2] 王睿, 王林, 姜志威. 基于DSP的主动视觉运动目标跟踪策略及实现[J]. 光电工程, 2009, 36(2): 6–10.
Wang Rui, Wang Lin, Jiang Zhiwei. Active visual system for moving object intelligent tracking based on DSP[J]. Opto-Electronic Engineering, 2009, 36(2): 6–10.
[3] Grabner H, Grabner M, Bischof H. Real-time tracking via on-line boosting[C]// Proceedings of British Machine Vision Confer-ence, 2006, 1: 6.
[4] Kalal Z, Mikolajczyk K, Matas J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelli-gence, 2012, 34(7): 1409–1422.
[5] Zhang Kaihua, Zhang Lei, Yang M H. Real-time compressive tracking[C]//Proceedings of the 12th European Conference on Computer Vision, 2012.
[6] 李庆武, 朱国庆, 周妍, 等. 基于特征在线选择的目标压缩跟踪算法[J]. 自动化学报, 2015, 41(11): 1961–1970.
Li Qingwu, Zhu Guoqing, Zhou Yan, et al. Object compressive tracking via online feature selection[J]. Acta Automatica Sinica, 2015, 41(11): 1961–1970.
[7] Liu Qingshan, Yang Jing, Zhang Kaihua, et al. Adaptive compressive tracking via online vector boosting feature selec-tion[J]. IEEE Transactions on Cybernetics, 2015, PP(99): 1–13, doi: 10.1109/TCYB.2016.2606512. (in Press)
[8] Chan Sixian, Zhou Xiaolong, Li Junwei, et al. Adaptive com-pressive tracking based on locality sensitive histograms[J]. Pattern Recognition, 2017, 72: 517–531.
[9] Yao Xuan, Zhou Yue. Real-time compressive tracking with a particle filter framework[C]//International Conference on Neural Information Processing, Cham, 2014: 242–249.
[10] Johnson W B, Lindenstrauss J. Extensions of Lipschitz map-pings into a Hilbert space[J]. Contemporary Mathematies, 1984, 26: 189–206
[11] Diaconis P, Freedman D. Asymptotics of graphical projection pursuit[J]. The Annals of Statistics, 1984, 12(3): 793–815.
[12] 潘秋萍, 杨万扣, 孙长银. 基于Haar与MB-LBP特征的车牌检测算法[J]. 东南大学学报(自然科学版), 2012, 42(Z1): 74–77.
Pan Qiuping, Yang Wankou, Sun Changyin. License plate detection algorithm based on Haar and MB-LBP features[J]. Journal of Southeast University (Natural Science Edition), 2012, 42(Z1): 74–77.
[13] 房文涛, 王向军, 汤其剑. 基于粒子滤波的机载目标跟踪系统设计[J]. 激光与红外, 2012, 42(7): 841–844.
Fang Wentao, Wang Xiangjun, Tang Qijian. Object tracking system for MUAV based on particle filter[J]. Laser & Infrared, 2012, 42(7): 841–844.
[14] 刘小宁, 陈晓冬, 郁道银. 基于DSP的运动目标识别与跟踪系统的设计[J]. 电视技术, 2010, 34(11): 107–110.
Liu Xiaoning, Chen Xiaodong, Yu Daoyin. Design of moving target recognition and tracking system based on DSP[J]. Video Application & Project, 2010, 34(11): 107–110.
[15] 冯禹, 王向军, 陈文亮. 相对位姿测量解算的DSP实现[J]. 传感技术学报, 2016, 29(1): 35–39.
Feng Yu, Wang Xiangjun, Chen Wenliang. DSP implementa-tion of relative position and attitude calculation[J]. Chinese Journal of Sensors and Actuators, 2016, 29(1): 35–39.
[16] 彭志明, 李琳. 基于IQmath库的定点DSP算法设计[J]. 单片机与嵌入式系统应用, 2010(9): 39–41.
Peng Zhiming, Li Lin. Fixed-point DSP algorithm based on IQmath library[J]. Microcontrollers & Embedded System, 2010(9): 39–41.
[17] 朱威, 韩巨峰, 郑雅羽, 等. 基于DSP的全景视频多目标实时检测[J]. 光电工程, 2014, 41(5): 68–76.
Zhu Wei, Han Jufeng, Zheng Yayu, et al. Real-time detection of multi-object based on DSP processor for panoramic video[J]. Opto-Electronic Engineering, 2014, 41(5): 68–76.
[18] 李文龙, 刘利, 汤志忠. 软件流水中的循环展开优化[J]. 北京航空航天大学学报, 2004, 30(11): 1111–1115.
Li Wenlong, Liu Li, Tang Zhizhong. Loop unrolling optimization for software pipelining[J]. Journal of Beijing University of Aeronautics and Astronautics, 2004, 30(11): 1111–1115.
[19] 祝中科. 基于DM6467的车辆轮对磨耗检测算法的优化实现[D]. 杭州: 杭州电子科技大学, 2013.
Zhu Zhongke. Optimized for vehicle wheelset wear detection algorithm based on DM6437[D]. Hangzhou: Hangzhou DianZi University, 2013.
程卫亮, 王向军, 万子敬, 郭志翼. 压缩域目标跟踪算法在小型化DSP平台上的研究与实现[J]. 光电工程, 2017, 44(10): 972. Weiliang Cheng, Xiangjun Wang, Zijing Wan, Zhiyi Guo. Research and implementation of target tracking algorithm in compression domain on miniaturized DSP platform[J]. Opto-Electronic Engineering, 2017, 44(10): 972.