People tracking and segmentation using spatiotemporal shape constraints
People tracking and segmentation using spatiotemporal shape constraints
复制标题
使用时空形状约束进行人员跟踪和分割
DOI：
10.1145/1461893.1461900
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Y. Yagi
中科院分区：
文献类型：
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作者：
Junqiu Wang;Yasushi Makihara;Y. Yagi
我们提出了一种用于步态识别的有效人员跟踪和分割算法。尽管大多数现有的步态识别算法假设人已被跟踪并且轮廓可用于步态分类，但跟踪和分割非常困难，特别是对于诸如人类之类的铰接物体。我们基于时空形状约束改进了跟踪和分割的性能。首先，我们使用自适应均值漂移跟踪器来跟踪人员，该跟踪器产生由边界框和前景似然图像组成的初始结果。一般来说，初步结果不够准确，无法直接应用于步态识别。我们通过以批处理模式匹配轮廓模板序列来细化结果，以找到与输入相对应的基于轮廓的最佳步态路径。由于该过程的计算成本很高，因此我们提出了一种新颖的有效距离计算方法来加速时空轮廓匹配。时空形状先验被嵌入到 Min-Cut 算法中以将人分割出来。室内和室外序列的实验证明了该方法的有效性。
We present an efficient people tracking and segmentation algorithm for gait recognition. Even though most existing gait recognition algorithms assume that people have been tracked and that silhouettes are available for gait classification, tracking and segmentation are very difficult especially for articulated objects such as human beings. We improve the performance of tracking and segmentation based on spatiotemporal shape constraints. First of all, we track people using an adaptive mean-shift tracker which produces initial results consisting of bounding boxes and foreground likelihood images. The initial results, generally speaking, are not accurate enough to be applied in gait recognition directly. We refine the results by matching with silhouette templates sequences in a batch mode to find the optimal silhouette-based gait paths corresponding to the input. Since the process is computationally expensive, we propose a novel efficient distance computation method to accelerate the spatiotemporal silhouette matching. The spatiotemporal shape priors are embedded into the Min-Cut algorithm to segment people out. Experiments on indoor and outdoor sequences demonstrate the effectiveness of the proposed approach.
在线二聚体离子通道形成肽cervinin的合成及生理活性
DOI：
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发表时间：
2007
期刊：
影响因子：
--
作者：
伊東純子;平 順一;長田聰史;加藤富民雄;兒玉浩明
通讯作者：
兒玉浩明
DOI：
10.1007/11744078_12
发表时间：
2006-01-01
期刊：
COMPUTER VISION - ECCV 2006, PT 3, PROCEEDINGS
影响因子：
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作者：
Makihara, Yasushi;Sagawa, Ryusuke;Yagi, Yasushi
通讯作者：
Yagi, Yasushi