Description: Video object matching across multiple independent views using local descriptors and adaptive learning文章描述了多摄像机系统下的目标检测与跟踪，和自学习方法。很有参考价值。-Video object matching across multiple independent views using local descriptors and adaptive learning article describes a multi-camera system under the target detection and tracking, and self-learning methods. Useful reference value. Platform: |
Size: 2234368 |
Author:张涛 |
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Description: Using colour features for video-based tracking of people in a multi-camera
environment.-Using colour features for video-based tracking of people in a multi-camera
environment.
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Size: 309248 |
Author:co2gaz |
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Description: A document on researching using multi-camera to tracking people, this method based on the probabilistic occupancy map. Platform: |
Size: 1316864 |
Author:zijin yuan |
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Description: 智能视频监控是利用计算机视觉技术对摄像机采集的视频数据进
行分析、理解，并以此为基础对视频监控系统进行控制。由于单个摄
像机都视野域有限，监控大范围场景时需要使用多摄像机系统。智能
视频跟踪系统中多个摄像机的使用有利于解决遮挡问题，场景混乱、
环境光照突变情况下的运动目标跟踪等问题。 而且基于多摄像机的视
频跟踪在高级人机交互、视频会议、医疗诊断以及基于内容的存储与
检索等方面有广泛的应用前景和潜在的经济价值-Intelligent video surveillance is the use of computer vision technology to capture the video data into the camera
Line analysis, understanding, and based on the video surveillance system to control it. Since a single photo
Camera vision field are limited, monitoring a wide range of scenarios need to use multi-camera system. Smart
Video tracking system using multiple cameras are conducive to resolving the occlusion problem, the scene chaotic
Mutation under ambient light moving target tracking and other issues. And is based multi-view camera
High frequency of human-computer interaction tracking, video conferencing, medical diagnosis and content-based storage and
Search has wide application prospect and potential economic value of
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Size: 666624 |
Author:sqd |
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Description: 本文针对摄像机运动情况下的多目标跟踪问题，提出了基于粒子滤波的跟踪算法。在粒子滤波算法基础上，将二阶自回归过程作为系统状态转移模型，HSV 颜色直方图作为观测模型，对视频中多个目标的位置、大小进行跟踪。实验结果表明，该算法能实时正确地跟踪多个目标，并对局部遮挡有较好的鲁棒性，也能在目标短暂消失导致跟踪失败后，在目标重新出现后及时捕获并继续进行跟踪。-A tracking algorithm based on particle filter is proposed to deal with multi-target tracking in a camera motion situation. In the
proposed algorithm, the position and scale of targets in the video are tracked by using a second-order auto-regressive process as the transition
model and an HSV histogram as the observation model. Experimental results show that the proposed algorithm can track multitarget
correctly in real-time and is robust to the partial occlusion. In addition, it can recover from tracking failure due to the target out of camera for a while. Platform: |
Size: 405504 |
Author:wenping |
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Search - multi camera using tracking