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: 《DragonEye Fast Object Tracking and
Camera Motion Estimation》DragonEye是一个基于目标直接浏览的视频播放系统。比Dimp和Dragon来说具有实时性-Recently, multiple research groups proposed the concept of direct manipulation,
which makes the task of navigation in videos directly related to content of the
video. However, the developed systems are still too slow for a broad application of
the technique. To increase the accessibility of direct manipulation a system has to
fulfill certain requirements:
• Computation times have to be so small that the system can work in situation
with time constraints.
• The system has to accommodate for the user’s greater comprehension of a
scene. This includes camera motion, fore- and background, and occlusions.
Based on the requirements, we developed and implemented the DRAGONEYE system.
The tracker employs point tracking, with points provided by SIFT [Lowe,
2004], and color tracking with the CAMShift algorithm [Comaniciu et al., 2003]. A
model of the tracked object is built and continuously updated to fit the current conditions.
This model allows the detection and recover Platform: |
Size: 38917120 |
Author:童癸 |
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Description: 室外场景下由于场景背景条件变化容易导致视频目标跟踪稳定性差。该文提出一种利用红外和可见光传感
器的双通道视频目标跟踪方法。该算法利用可见光图像的目标颜色特征和红外图像的目标轮廓特征，结合均值漂移
算法与水平集曲线演化实现目标定位，并给出了目标尺度和模板更新方法；对多目标跟踪的互相遮挡问题，通过判
断目标合并与分离实现遮挡时多个目标的定位。实验结果表明，该文方法能够有效处理光照变化、阴影、遮挡等情
况，实现目标的稳定跟踪。-Considering the poor stability of the video object tracking methods in outdoor scenes when the
background circumstance variation in object images occurs, a new method is presented for object tracking based on
infrared and visible dual-channel video. It extracts the Hue, Saturation, Value (HSV) color feature in visible image
and the contour feature in infrared image, and combines the Mean Shift (MS) algorithm and the level set evolution
algorithm to realize object location, also, the object scalar and model update mechanism is presented. To address
the multiple object occlusion problems, a method is presented to locate multiple objects by determining the object
merger and separation. Experimental results on infrared and visible dual-channel video demonstrate that the
proposed method can successfully cope with the cases in complex environment such as illumination changes,
shadow, occlusion, etc.. Platform: |
Size: 386048 |
Author:majun |
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Description: Motion based multiple object tracking.
Tracks multiple objects in a video. used in survelliance. Platform: |
Size: 18124800 |
Author:Savi |
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Search - multiple object tracking in a video