CAJ | 학술논문

针对复杂背景下运动目标检测存在的背景干扰、目标分割不完整等问题，利用目标静态灰度特征和运动特征，结合目标运动连续特性，提出了一种基于超像素时空显著图的运动目标检测算法。首先对图像基于简单线性迭代聚类算法（SLIC）进行超像素分割，以初始超像素为节点、以运动特征差异性为边建立图结构对超像素区域进行合并，得到最终超像素图像，可以有效解决传统超像素分割方法过分割而导致目标被分为多个部分的问题；然后分别利用目标静态特征对比度和运动特征对比度，得到静态显著性图和运动显著性图，并融合得到最终的时空显著性图；最后利用恒虚警处理技术，结合运动连续特性实现目标的检测，可以有效减少虚警目标。实验结果表明，该算法针对复杂背景具有良好的鲁棒性，并且可以比较完整的保留目标的信息。
침대복잡배경하운동목표검측존재적배경간우、목표분할불완정등문제，이용목표정태회도특정화운동특정，결합목표운동련속특성，제출료일충기우초상소시공현저도적운동목표검측산법。수선대도상기우간단선성질대취류산법（SLIC）진행초상소분할，이초시초상소위절점、이운동특정차이성위변건립도결구대초상소구역진행합병，득도최종초상소도상，가이유효해결전통초상소분할방법과분할이도치목표피분위다개부분적문제；연후분별이용목표정태특정대비도화운동특정대비도，득도정태현저성도화운동현저성도，병융합득도최종적시공현저성도；최후이용항허경처리기술，결합운동련속특성실현목표적검측，가이유효감소허경목표。실험결과표명，해산법침대복잡배경구유량호적로봉성，병차가이비교완정적보류목표적신식。
A new moving target detection algorithm based on superpixel spatiotemporal saliency is proposed to solve the problem of high false alarm and incomplete structure within moving target detection under complex background which takes into account of static characteristic and motion information of moving targets. Firstly, this algorithm extracts superpixels by image segmentation techniques, and builds a graph based on motion information and makes use of the graph theory for superpixels region emerging. Then, this algorithm calculates the static feature contrast and motion feature contrast of each superpixels to generate spatiotemporal saliency map. So the final saliency map can be obtained by fusing both the static and motion feature saliency map. Finally the target detection is achieved using constant false alarm processing and motion continuity feature. The experiment result shows that the algorithm is robust to complex background and detects intact information of the target.