A new ellipse-tracking algorithm based on the active contour and the optical flow technique was proposed.
给出一种新的基于活动轮廓与光流约束的椭圆跟踪算法。
Propose an action recognition algorithm based on optical-flow feature and Sequence Alignment.
提出了一套基于光流特征和序列比对的行为识别算法。
In the thesis, the algorithm of background subtracting, frame difference algorithm, motion estimation based on optical flow field and object tracking based on active shape contour are investigated.
本文研究了背景相减算法、差分法、基于光流场的运动估计和基于主动形状模型的目标跟踪算法。
This paper Proposed an action recognition algorithm based on optical-flow feature and sequence alignment.
提出一种基于光流特征与序列比对的行为识别算法。
Optical flow was computed based on the block relative algorithm, which is used for hand tracking.
基于块的相关算法来计算光流，并利用光流跟踪双手的运动。
The algorithm is mainly composed of image preprocessing, the vehicle motion detection and behavior analysis based on optical flow.
算法主要包括图像的预处理，车辆的运动检测和基于光流场的行为分析。
Based on the optical flow technique in image motion analysis, a new continuous correction algorithm based on scene is proposed in the paper. The algorithm has a better adaptive performance.
本文结合图像运动分析中的光流技术，提出了一种新的基于场景的连续校正算法，该算法具有较好的自适应性能。
Aim at video sequences with dynamic background, the CNN video motion segmentation algorithm based on optical flow field threshold is presented.
针对背景相对运动是视频序列，提出了基于光流场阈值的CNN视频分割算法。
Aim at video sequences with dynamic background, the CNN video motion segmentation algorithm based on optical flow field threshold is presented.
针对背景相对运动是视频序列，提出了基于光流场阈值的CNN视频分割算法。
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