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- It decomposes sequences into video object planes (VOPs) so that each VOP represents one moving object. 它把图像序列分解成视频对象平面(VOP),每个VOP代表一个运动对象。
- Method for extracting video object plane based on contour 轮廓基的视频对象平面提取方法
- Extraction of Video Object Plane Using Modefied Hausdorff Object Tracker 使用修改的豪氏道夫距离自动提取运动对象
- An Approach to Extraction of Video Object Plane From Surveillance Video Sequence 一种从监控视频流中提取视频对象的方法
- Initial Object Segmentation for Video Object Plane Generation Using Cellular Neural Networks 在视频对象平面生成中使用细胞神经网络进行初始对象的分割
- GENERATING VIDEO OBJECT PLANE BY AUTOMATIC SEGMENTATION OF MOVING OBJECTS 用于视频对象平面生成的运动对象自动分割
- Automatic Extraction of Video Object Plane by Integrating Spatio-Temporal Information 结合时空信息的视频对象平面自动提取算法
- Automatic Segmentation of MPEG-4 Video Object Plane Using Spatial and Temporal Information 利用空域和时域信息自动分割MPEG-4视频对象
- Group of Video Object Plane 视频对象组层
- video object plane(VOP) 视频对象平面
- video object plane 视像对象平面
- Place one of the negative records in the projector object plane. 将负片记录之一放入投影器的物平面内。
- The management of active video object by software is a difficult subject in multimedia technology. 用纯软件实现动态视频对象的管理是多媒体技术中的一个难点。
- The invention provides a full-refractive projection optical system for projecting the image of a pattern in an object plane in an image plane. 本发明提供了一种全折射投影光学系统，用于将物平面内的图形成像到像平面内。
- This paper proposed a method of video object segmentation based on fuzzy clustering. 摘要提出了一种基于模糊聚类的视频对象分割方法。
- The invention discloses a method for determining the optimal object plane and the optimal image surface of a photoetching projecting device, and the relevant device thereof. 本发明公开了一种确定光刻投影装置最佳物面和最佳像面的方法及相关装置。
- In the experiment,error mean is 11.375% and standard variance is 0.94%,which shows it is an efficient algorithm to segment the semantic video object. 实验表明;本分割算法具有较高的准确性;误差的均值为11.;375%25;标准方差为0
- The influence of gray scale to joint transform corre-lator is analyzed and a method of gray-scale transformation is given to process the object plane of joint transformcorrelator. 应用此方法,可以明显地增强相关峰的亮度,成功地解决了由于模块所在的灰度级范围与目标所在背景的灰度级范围相差较大所带来的影响问题。
- Experimental results show that the proposed method performs excellently for video object segmentation and preferable the method in spatial accuracy. 实验结果表明，该算法能够较为准确地分割出视频对象，并且在空间准确度上占优。
- Experimental results show that the proposed algorithm can segment and track video object pair in image sequence of stereo videoconferencing efficiently. 实验结果说明文中算法能够应用于立体视频会议图像序列的立体对象分割与跟踪。
