对象检测

基于MPEG压缩域的运动对象检测方法

Moving Object Detection From MPEG Compressed Field

这种首先由PaulViola和MichaelJones提出的对象检测方法具有实时、健壮和高准确率的特点。

This object detection method firstly presented by Paul Viola and Michael Jones is real-time , robust and achieves high detection rates .

基于时空域暗示的运动对象检测和分割

Detection and segmentation of moving objects using temporal and spatial cues

视频对象检测及其在视频语义内容分析中的应用

Video Object Detection and Its Application in Video Semantic Content Analysis

基于块匹配的运动对象检测算法

A New Motion Object Detect Algorithm Based on Block Match

而对于载密对象检测，分析了两类错误概率及整体错判概率等指标。

And the probability of error is analyzed for the second step .

视频情报分析中一种运动对象检测的新方法

A New Moving Object Detection Approach for General Video

因此场景描述与理解可以为目标识别提供先验知识，提高对象检测算法的性能。

Therefore scene understanding provides prior information to guide the object detection process .

研究了对象检测的基本方法。

The basic methods of object detection are studied .

利用小波变换和纹理特征实现运动对象检测

Motion object detection using wavelet transform and texture feature

基于累积光流的运动对象检测

Moving objects detection based on accumulative optical flow

在运动对象检测部分，提出自适应块均值的改进密码本模型。

Towards motion object detection , an adaptive block mean codebook model is proposed .

体育视频中的对象检测与分割

Object Detection and Segmentation in Sport Video

对象检测技术是一门具有研究价值和实用意义的技术，同时也是一门极具难度和挑战性的技术。

Object detection technology is a useful technology , but also a difficult and challenging technology .

本文旨在解决四个问题：1.人体对象检测和分割问题。

So , this study is concerned with four primary issues : Human body detection and segmentation .

系统的对象检测部分采用一种结合瞬时差分和背景差分的方法。

In part of detection , it uses a method which integrates the temporal difference and background subtraction algorithm .

提出一种基于动态阈值对称差分和背景差法的运动对象检测算法。

A novel algorithm for moving detection , which employed adaptive background subtraction and symmetrical differencing method , was presented .

特别是在安全监控应用中，运动对象检测是基于视频的安全监控异常报警任务的关键算法。

On the Surveillance of the Media It is a key algorithm especially for the intrusion alarming of security surveillance .

提出了完备半格中的数学形态学，并给出了在视频图像序列中运动对象检测的应用。

Keshet put forward the mathematical morphology of the complete semi-lattice , and applied it to the detection of moving objects .

本文主要研究了智能化数字视频监控系统的基础部分：运动对象检测与跟踪。

This paper mainly worked on the basic part of intelligent digital video surveillance system : moving objects detection and tracking .

在对象检测方面，主要研究了适用于实时性系统的瞬时差分法和背景差分法。分析了两者的优缺点。

As for detection , the research focus on temporal difference and background subtraction algorithm , analyses both advantage and disadvantage of them .

基于场景和结构的特定对象检测和识别研究旨在大量的图片数据库中快速的寻找并定位某一种特定目标并对其进行精确匹配的技术。

Scene context and structure based object detection and recognition technic is aiming at localizing the specialized object in the large image database efficiently .

最后在运动对象检测与跟踪的基础上统计出通过监控区域的运动对象数目。

At last , we count the number of moving objects that pass through the surveillance region on the base of detection and tracking .

系统基于海康视频监控摄像机，实现了视频对象检测和提取模块、人脸检测模块和人脸识别模块。

The system has three modules : the detection and extraction of video object module , the face detection module and the face recognition module .

运动对象检测是计算机视觉和运动图像编码研究领域的一个重要课题，在许多领域有着广泛的应用。

Moving object detection is one of the most important processes in computer vision and moving image coding and is widely used in many fields .

在对对象检测和追踪的算法进行了充分研究的基础上，设计了一个视频信号中简单对象检测与追踪的系统。

With sufficiency research for the detection and tracking research , this paper designs a system for simple objects detection and tracking in the video signal .

跟踪是在运动对象检测的基础上进行的，其主要目的是得出运动对象的运动特征：包括运动轨迹及瞬时运动参数，如：运动速度、运动方向等。

Tracking is based on moving objects detection , its main purpose is to get the tracks and motion feature such as velocity and direction of the moving object .

人脸检测是对象检测的具体应用，目的是能找到并返回图片中所有人脸的位置及大小。

Face detection can be regarded as a specific case of object-class detection . The task is to find the locations and sizes of all faces in an image .

智能视频监控系统是计算机视觉研究领域的一个重要课题，而运动对象检测则是智能监控系统的核心技术。

Intelligent video surveillance system is one of the most important issues in the field of computer vision , and motion object detection is the core technology of the intelligent monitoring system .

该方法首先将有监督和无监督算法结合应用到数据流异常检测中，在实现了未知异常数据对象检测的同时保证了检测的效率。

Firstly , supervised and unsupervised algorithms have been combined to realize the basic outlier detection method over data stream , which can catch the unknown outliers and keep relative high efficiency as well .