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    • 3. 发明授权
    • Video-based encroachment detection
    • 基于视频的侵占检测
    • US07593547B2
    • 2009-09-22
    • US11245391
    • 2005-10-06
    • Anurag MittalImad ZoghlamiVisvanathan Ramesh
    • Anurag MittalImad ZoghlamiVisvanathan Ramesh
    • G06K9/00
    • G08B13/19613G06T7/254
    • A method and system for video-based encroachment detection are provided, the method including receiving first and second images, modeling a background from the first image, subtracting the background from the second image to provide a detection map, calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map using dynamic programming, and detecting the object in a region if the projection matches that region of the detection map; and the system including a processor, a background modeling unit coupled with the processor for modeling a background from the first image and subtracting the background from the second image to provide a detection map, and a dynamic programming unit coupled with the processor for calibrating the size of an object from the pixel level, integrating a projection of the object with the detection map, and detecting the object in a region if the projection matches that region of the detection map.
    • 提供了一种用于基于视频的侵入检测的方法和系统,所述方法包括接收第一和第二图像,从第一图像建模背景,从第二图像中减去背景以提供检测图,校准物体的大小 像素级,使用动态规划将对象的投影与检测图集成,如果投影与检测图的区域匹配,则检测区域中的对象; 并且所述系统包括处理器,与所述处理器耦合的背景建模单元,用于对来自所述第一图像的背景进行建模并从所述第二图像减去所述背景以提供检测图;以及动态编程单元,与所述处理器耦合以校准所述尺寸 从像素级别的对象,将对象的投影与检测图集成,以及如果投影匹配检测图的区域,则检测区域中的对象。
    • 4. 发明授权
    • Tunable kernels for tracking
    • 用于跟踪的可调内核
    • US07853042B2
    • 2010-12-14
    • US11650788
    • 2007-01-08
    • Vasudev ParameswaranVisvanathan RameshImad Zoghlami
    • Vasudev ParameswaranVisvanathan RameshImad Zoghlami
    • G06T7/20
    • G06K9/32G06K9/4642G06K9/6226
    • A tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking is provided. The solution to the tracking problem is articulated into a method that encodes the spatial configuration of features along with their density and yet retains robustness to spatial deformations and feature density variations. The method of encoding of spatial configuration is provided using a set of kernels whose parameters can be optimized for a given class of objects off-line. The method enables the use of mean-shift iterations and runs in real-time. Better tracking results by the novel tracking method as compared to the original mean-shift tracker are demonstrated.
    • 提供了用于跟踪的可调表示,其以能够使用平均移位迭代进行跟踪的方式同时编码外观和几何。 跟踪问题的解决方案是将特征的空间配置及其密度进行编码,并保持对空间变形和特征密度变化的鲁棒性。 使用一组内核来提供空间配置的编码方法,该内核的参数可以离线给定类别的对象进行优化。 该方法使得可以实时使用均值迭代和运行。 证明了与原始平均移位跟踪器相比,通过新颖的跟踪方法更好的跟踪结果。