CAJ | 학술논문

针对目标跟踪过程中的速率低和存储量大的问题，提出了一种新的利用二值描述符特征的快速稳定的目标跟踪算法。该算法首先在保持目标结构信息的情况下，通过寻找最优正交矩阵对样本进行旋转聚类，将样本从欧式空间投影到汉明空间，生成二值描述符。然后在粒子滤波采样的框架下，通过计算目标与候选样本的汉明距离确定目标跟踪位置。实验结果表明，当发生光照、姿态变化和快速移动时，该算法跟踪速度较快，并且能够实现稳定跟踪。
침대목표근종과정중적속솔저화존저량대적문제，제출료일충신적이용이치묘술부특정적쾌속은정적목표근종산법。해산법수선재보지목표결구신식적정황하，통과심조최우정교구진대양본진행선전취류，장양본종구식공간투영도한명공간，생성이치묘술부。연후재입자려파채양적광가하，통과계산목표여후선양본적한명거리학정목표근종위치。실험결과표명，당발생광조、자태변화화쾌속이동시，해산법근종속도교쾌，병차능구실현은정근종。
Object tracking often has the problems of low rate and high storage . Therefore , a tracking algorithm based on binary descriptors is proposed . The algorithm retains the original construction information on the samples and projects the samples from Euclidean space to Hamming space in order to generate binary descriptors by searching the optimal orthogonal matrix for rotating cluster . Then under the frame of particle filtering , it is necessary to determine the tracking position by computing the hamming distance .Analysis and experiment show that the proposed tracking algorithm performs rapidly and favorably when the target objects undergo large illumination ,pose changes and fast movement .