In this paper, the authors propose an efficient and effective method for recognizing and tracking specific moving object in a complex color background.
该文提出了针对在复杂的彩色背景下特定运动目标定位的快速有效方法。
For a visual tracking system, the core includes two parts: one part is moving object extraction, and the other is moving object forecast and tracking.
对于视觉跟踪系统，其核心主要包括两个部分：一是运动目标提取，二是运动目标的预测与跟踪。
It has studied how to carry out recognition and tracking of moving object based on simple background, and presented the block diagram of system theory for object tracking.
研究了在简单背景下实现对运动目标的识别与跟踪，给出了目标跟踪的原理图和结构框图。
For the moving target tracking mode, this paper propor. es a fusion target detection algorithm to realize the detection for weak object.
对于运动空间目标检测跟踪模式，由于要实现对弱目标的检测并且尽量减少虚警概率，本文提出了一种融合的运动目标检测算法；
Segmentation and tracking of video moving object is used for guiding the extraction of video object plane from the video sequence.
为了生成视频对象面，需要对视频序列中的运动对象进行有效的分割；
Then, adopt the edge tracking algorithm to acquire the exterior outline feature of moving object and process the sequence images. After that, the recognized tracking is carried out for moving object.
并采用边缘跟踪算法，获取运动物体的外部轮廓特征，对序列图像进行处理，继而实现对运动物体进行识别跟踪。
In this paper, we present a moving object detection method for outdoor background according to the development of an intelligent object monitoring and tracking system based on video images.
本文结合一个基于视频图像的智能野外监控系统的开发过程，提出了一种野外背景下运动目标的检测方法。
The thesis is focused on the study of Electro-optical Navigation based on DSP, including the design of the hardware platform and algorithm software module for moving object detection and tracking.
本文主要研究了基于DSP的光电返航导引系统，包括系统硬件平台构建和目标检测与跟踪算法的软件实现。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
Experimental results show that the lane detection and the moving object detection and tracking algorithm in this paper are robust, efficient and suitable for real-time processing.
实验结果表明，本文提出的车道检测和车辆识别与跟踪方法是可行的，能够满足系统实时性和准确性的要求。
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