搜索资源列表
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
itm08
- 论文：基于语义的视频检索实现方法，号称在TRECVID的评测中一直保持领先。-An approach to implement semantics-based video detection, with promising results reported in TRECVID.
Video-based-Smoke-Detection
- Video-based Smoke Detection Possibilities, Techniques, and Challenges.pdf
target-detection
- 基于视频的目标检测跟踪的研究与实现 详细讲述了各种运动目标检测方法 光流法 帧差法-Video-based target detection and implementation of follow-up study to describe in detail the various methods of moving target detection method optical flow frame-difference method
MultipleVehicleDetectionandTrackinginHardRealTime.
- 这个是在IEEE上下载的一篇英文文献，基于视频图像的多目标车辆的检测跟踪，对毕业设计有帮助-This is an IEEE downloaded in English literature, based on video images of the detection of multi-objective vehicle tracking, designed to help graduate
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
Opencv-video-road-base
- 基于opencv的视频道路车辆检测与跟踪算法研究-Based on opencv video road vehicle detection and tracking algorithm research
analysis-of-video-structure
- 关于视频结构分析，总结了目前镜头分割、关键帧提出、场景边界检测的方法，基于目前算法存在的缺陷，提出了尺度不变特征变换的方法。-Video structure analysis, summed up the scene boundary detection, shot segmentation, key frame proposed scale invariant feature transform method based on the current algorithm defects.
Object-Tracking-and-Detection
- 视频跟踪与目标检测，外国人写的，非常有用-Video tracking and target detection, written by foreigners, is very useful
target-detection-algorithm-
- 为克服传统目标识别方法在处理空间特征分布极为复杂的数据时的缺点，提出1 种基于决策树的多特征检测算法，并将其应用到基于视频的海上搜救目标检测中. 该算法首先提取图像中的颜色、亮度等信息，通过计算各特征的信息增益建立决策树，将搜救目标检测问题分解成3 层决策树分类问题. 实验表明，该算法能够提高多特征目标检测的效率，在救生艇、筏等海上搜救目标检测的应用中取得较好的结果.-Characteristics to overcome the traditional target recognition m
OpenCV-VIDEO-DETCTION
- 计算机视觉是研究用计算机模拟生物外显或宏观视觉功能的科学和技术。作 为计算机视觉研究的一个分支—运动目标的检测与跟踪，就是对视场内的运动目 标，如人或车辆等，进行实时的观测，并在此基础上对被观测对象进行分类，然 后分析它们的行为。近年来，计算机视觉的研究重点已经从对静态图像的研究过 渡到对动态图像序列的研究上面，这方面的典型应用包括自动化的视频监控系 统、视频MPEG编解码技术、人机交互的感知接口、军事上的制导、雷达视频 图像中的
Vehicle-violation-detection
- 通过电子仪器自动控制摄像机或照相机,以成像技术再现交通违章车辆及...由四部分组成：①交通违章检测系统，根据事先设定的交通违章条件和数据，通过路面下设置的环行线圈检测器，或道路上设置的视频检测器，或测速雷达等自动识别违章 ... -Reproduction in imaging technology through electronic instrument automatically control the camera or the camera, traffic violation
Detection-of-marine-vehicles-in-images-and-video-
- Detection of marine vehicles in images and video of open sea
Video-Copy-Detection1
- 为了解决空域特征与时域特征只能片面地表征视频内容的问题,提出了一种基于时空代表帧序列的视频近拷贝检测方法.-In order to solve the spatial and temporal characteristic features only one-sided characterization of video content problem, a video copy detection method in recent temporal sequence of frames bas
Fire-detection-in-video-sequences
- Fire detection in video sequences using a generic color model
Fire-detection-using-color-model
- Fire detection using statistical color model in video sequences
smoke-detection
- 一种基于运动块追踪的视频烟雾探测方法,是检测和跟踪技术的结合。 -A video smoke detection method based on motion block tracking is a combination of detection and tracking technology.
Action-Detection
- This paper advances prior work by proposing a joint learning framework to simultaneously identify the spatial and temporal extents of the action of interest in training videos. To get pixel-level localization results, our method uses dense traj