会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明申请
    • EFFICIENT TRACKING MULTIPLE OBJECTS THROUGH OCCLUSION
    • 有效跟踪通过信息传播的多个对象
    • US20090002489A1
    • 2009-01-01
    • US11771626
    • 2007-06-29
    • Tao YangFrancine ChenDonald G. KimberXuemin LiuJames Vaughan
    • Tao YangFrancine ChenDonald G. KimberXuemin LiuJames Vaughan
    • H04N7/18G06K9/62
    • H04N7/18G06K9/00771G06K9/621
    • Visual tracking of multiple objects in a crowded scene is critical for many applications include surveillance, video conference and human computer interaction. Complex interactions between objects result in partial or significant occlusions, making tracking a highly challenging problem. Presented is a novel efficient approach to tracking a varying number of objects through occlusion. The object tracking during occlusion is posed as a track-based segmentation problem in the joint-object space. Appearance models are used to interpret the foreground into multiple layer probabilistic masks in a Bayesian framework. The search for optimal segmentation solution is achieved by a greedy searching algorithm and integral image for real-time computing. Promising results on several challenging video surveillance sequences have been demonstrated.
    • 视觉跟踪拥挤场景中的多个对象对于许多应用程序至关重要,包括监视,视频会议和人机交互。 物体之间的复杂相互作用导致部分或重要的闭塞,从而跟踪一个非常具有挑战性的问题。 提出了一种新颖的有效方法,通过遮挡跟踪不同数量的物体。 遮挡期间的物体跟踪在联合对象空间中作为基于轨道的分割问题。 外观模型用于将前景解释为贝叶斯框架中的多层概率蒙版。 通过贪心搜索算法和实时计算的积分图像来实现对最优分割解的搜索。 已经证明了几个具有挑战性的视频监控序列的有希望的结果。