Moving objects detection is an important research aspect of computer vision and video processing.
运动目标检测是计算机视觉、视频处理等应用领域的重要研究内容。
The video sequences are processed by the background extraction and adaptation, moving objects detection, shadow detection, eroding and dilating image in order to create the moving pedestrian contour.
首先利用视频图像处理技术实现背景提取、背景更新、移动目标检测。
In this paper an algorithm of moving objects detection in video image was proposed, which is based on the background codebook model.
提出一种基于背景码本模型的视频图像中运动目标的检测算法。
Based on deep summarize and analysis of existing detection method about moving targets, the paper focuses on the detection of abandoned objects when video camera is fixed.
本文在深入总结和分析现有运动目标检测方法的基础上，重点研究了摄像机固定情况下遗留物的检测。
This paper proposes a novel method for moving object detection from a video in medical gait analysis which contains not only stationary background objects but also moving background objects.
针对医学步态分析中的复杂场景下运动目标检测问题，提出了基于贝叶斯决策规则的方法。
Following, a wavelet based face detection algorithm is presented for the moving regions (foreground video objects), and an amendment for face model within MPEG-4 is introduced.
对运动区域（视频前景），基于小波分析技术实现视频图像的人脸检测，进而引入改进的人脸模型进行高效的压缩编码；
Following, a wavelet based face detection algorithm is presented for the moving regions (foreground video objects), and an amendment for face model within MPEG-4 is introduced.
对运动区域（视频前景），基于小波分析技术实现视频图像的人脸检测，进而引入改进的人脸模型进行高效的压缩编码；
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