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Moving-Target-Detection
- 针对视频监控系统中运动目标的检测与跟踪技术研究,本文比较运动目标检测的各种方法,采用背景差法来对运动目标进行检测,并阈值化和二值化检测出运动目标区域,能达到很好的检测效果。同时,利用卡尔曼滤波器对检测出来的运动目标进行预测和跟踪,实验验证跟踪效果较好。 -To solve the moving target detection and tracking in video monitoring system,in this paper,the various methods of moving
OnTrackingofMovingObjects
- 学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filt
BasedOnMeanShiftAndParticleFilterObjectTracking.ra
- 基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)，分析了两种算法的特点；，分析了用运动目标检测提取目标运动特征的技术，通过增加对目标特征描述信 息，提高跟踪健壮性，并在以颜色直方图描述颜色特征的基础上，融合了目标的运动特征，设计了一种基于运动特征和颜色特征多特征融合的粒子滤波跟踪方法；用二阶直方图描述颜色特征，设计了均值偏移和粒子滤波相结合的目标跟踪技术-Based
Moving_Target_Classification_and_Tracking_from_Rea
- 这是一篇有关运动目标分类的英文文献。这篇文献以离散度作为分类特征，利用时间一致性，提高了分类性能。内容也不是很深奥，相信对初学者有较大的帮助。-This is an article on the classification of moving targets in English literature. This dispersion in the literature as the classification features, use of time consistency, impro
Tracking_and_Object_Classification_for_Automated_S
- O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
Tracking_and_classifying_moving_objects_from_video
- Q. Zhou, J.K. Aggarwal. Tracking and Classifying Moving Objects from Video. 这篇文章另辟蹊径，利用“紧凑度值的变化、运动方向的变化”，区分人、人群、机动车。达到良好的分类效果。是运动目标分类领域的好文章。-Q. Zhou, JK Aggarwal. Tracking and Classifying Moving Objects from Video. This article open a new path, by us
tracking
- This paper proposes a new method of extracting and tracking a nonrigid object moving while allowing camera movement. For object extraction we first detect an object using watershed segmentation technique and then extract its contour points by a
cornerdetect
- 图像中的角点包含大量的信息，在计算机视觉中扮演重要角色，在许多应用中角点用作特征点，例如图像配准、运动目标跟踪等。鉴于此，学者们提出很多角点检测方法。例如Hans EMoravec在1977年提出的Movavec算法，Chris Harris和Mike Stephens于1988年提出的Harris算法，以及MirosavTrai．kovic和MarkHedley提出的Trajkovic算法等“卅。角点检测的另一个途径是计算轮廓的曲率函数，因为角点是曲率函数的最大值，因此很容易通过阈值的方法检测
KalmanFilterBasedVisualTracking
- A paper on A Kalman Filter Based Visual Tracking Algorithm for an Object Moving in 3D
videosegmentation
- 结合了背影恢复技术和目标跟踪技术进行视频分割算法，分背景重建、运动目标提取、跟踪技术的使用和后处理4个步骤-Combined with the back of recovery techniques and target tracking technology for video segmentation algorithm, sub-background reconstruction, moving object extraction, tracking the use and post-pr
moving
- Moving Object Tracking in Video
vehicles_detecting_and_tracking
- 运动车辆检测与目标跟踪研究毕业答辩PPT-Moving Vehicle Detection and Tracking of graduates to reply PPT
Combining-face-detection-and-people-tracking-in-v
- Face detection algorithms are widely used in computer vision as they provide fast and reliable results depending on the application domain. A multi view approach is here presented to detect frontal and profile pose of people face using Histogram of
multi-target-detection-tracking-
- 比较详细的讲解了视频中多运动目标检测跟踪算法的研究-More detailed explanation of the video tracking of multiple moving target detection algorithm
embedded-video-tracking-system
- 本文在初步完成嵌入式视频跟踪系统的总体设计和系统软硬件选择的基础 上，重点进行了自动检测和跟踪算法开发。自动视频检测和跟踪算法开发是本文 的核心内容。-In this dissertation，automatic video detection and tracking algorithms of moving targets have been presented based on accomplishing general design of intelligent—embe
Moving-Object-Detection-and-Tracking
- extracting background Bit-layer-A method of achieving background is presented which detect the moving object with statistics from complex scene. Compared with other methods of achieving image background, this approach can achieve and update s
Tracking-and-classifying-moving-objects-from-vide
- This IEEE paper helps for tracking and classification of motion detection.
Analysis-on-Moving-Object
- 计算机视觉研究的主要问题之一是运动物体的检测与跟踪, 它将图像处理、模式识别、自动控制、人 工智能和计算机等很多领域的先进技术结合在了一起, 主要应用在军事视觉制导、视频监控、医疗诊断和智能交通 等各个方面, 因此该技术已经成为一个重要的研究方向。阐述了视觉跟踪算法的研究现状和视觉跟踪算法的种类, 研究了基于区域的跟踪算法、基于模型的跟踪算法、基于特征的跟踪算法和基于主动轮廓的跟踪算法, 探讨了视觉 跟踪算法的未来研究方向。-One of the computer vision
tracking-technology
- 包含运动目标检测与跟踪技术研究和图像运动检测系统的实现两篇文章-Contains two articles of the moving target detection and tracking technology research and image motion detection system to achieve
target-detection-and-tracking
- 序列图像中运动小目标检测跟踪，实用性很强，张天序教授的硕士生撰写的学位论文-Image sequences small moving target detection and tracking, very practical, Professor Zhang Tianxu of graduate students writing dissertations