Description: 提出了一种基于样本的分级检索
MPEG 视频的新方法:首先用I 帧的dct_dc_size 字段快速粗检,然后用断层摄影(tomography)法分析B 帧运动矢
量的时空分布特性以进一步缩小结果集,最后用DC 图像的精确匹配方法验证检索结果.试验结果表明,本方法
所需计算量较小,且可保证较高的检索精度.-presents a sample classification based on MPEG video retrieval of the new method : First of all I frame with the rapid field dct_dc_size rough Frederick, and then use tomography (tomography) Analysis of B pictures motion vector space-time distribution to further narrow the results set, and DC Images precision Matching test results retrieval. test results showed that the calculation method for small and can guarantee higher retrieval accuracy. Platform: |
Size: 501988 |
Author:隼鼻梁 |
Hits:
Description: GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.-GSNAKE API provides tools for contour mode ling, extraction, detection and classification, based on generalized active contour model (g-s nake). GSNAKE consists of a set of objects built in C, suitable for use in the area of feature extracti on, character recognition, motion analysis and etc.. Platform: |
Size: 1830768 |
Author:妙飞 |
Hits:
Description: 这里没有 游戏代码片段分类，只好放这里了。
这是一个Direct3D和OpenGL混合的框架。
可通过 F1控制用OpenGL渲染还是用D3D渲染。-There is no classification code fragments game, but up here. This is a mixed Direct3D and OpenGL framework. F1 can be controlled through use of OpenGL rendering or a Motion exaggerated. Platform: |
Size: 48409 |
Author:邵小宁 |
Hits:
Description: 人脸检测源代码. The souce demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification Platform: |
Size: 366639 |
Author:huangtyu |
Hits:
Description: 提出了一种基于样本的分级检索
MPEG 视频的新方法:首先用I 帧的dct_dc_size 字段快速粗检,然后用断层摄影(tomography)法分析B 帧运动矢
量的时空分布特性以进一步缩小结果集,最后用DC 图像的精确匹配方法验证检索结果.试验结果表明,本方法
所需计算量较小,且可保证较高的检索精度.-presents a sample classification based on MPEG video retrieval of the new method : First of all I frame with the rapid field dct_dc_size rough Frederick, and then use tomography (tomography) Analysis of B pictures motion vector space-time distribution to further narrow the results set, and DC Images precision Matching test results retrieval. test results showed that the calculation method for small and can guarantee higher retrieval accuracy. Platform: |
Size: 501760 |
Author:隼鼻梁 |
Hits:
Description: GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.-GSNAKE API provides tools for contour mode ling, extraction, detection and classification, based on generalized active contour model (g-s nake). GSNAKE consists of a set of objects built in C, suitable for use in the area of feature extracti on, character recognition, motion analysis and etc.. Platform: |
Size: 1830912 |
Author:妙飞 |
Hits:
Description: 这里没有 游戏代码片段分类，只好放这里了。
这是一个Direct3D和OpenGL混合的框架。
可通过 F1控制用OpenGL渲染还是用D3D渲染。-There is no classification code fragments game, but up here. This is a mixed Direct3D and OpenGL framework. F1 can be controlled through use of OpenGL rendering or a Motion exaggerated. Platform: |
Size: 48128 |
Author:邵小宁 |
Hits:
Description: 人脸检测源代码. The souce demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification -Face detection source code. The souce demonstrates face detection SSE optimized C++ Library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification Platform: |
Size: 366592 |
Author:huangtyu |
Hits:
Description: 人运动的视觉分析系统一般遵从下述的处理过程：1)运动检测；2)运动目标分类；3)人的跟踪；4)行为理解与描述。这几篇文章将重点从此四个方面回顾人运动分析的目前发展水平和常用的处理方法，并对研究难点及未来的发展趋势作了较为详细的分析。-Movement of the visual analysis system to comply with the following general process: 1) Motion Detection 2) moving target classification 3) human tracking 4) acts of understanding and description. This articles will focus on four areas from the movement to recall the analysis of the current level of development and commonly used treatment methods, and research challenges and future development trend of a more detailed analysis. Platform: |
Size: 1270784 |
Author:郝晓 |
Hits:
Description: GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.
-GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, Suitable for use in the area of feature extraction, character recognition, motion analysis and etc. Platform: |
Size: 2981888 |
Author:wzq |
Hits:
Description: 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" . This is about the English literature to track moving target detection and classification of the article. The use of " the cyclical nature of human motion" , the goal of exercise is divided into people, people, motor vehicles. Has a strong reference value. Platform: |
Size: 1049600 |
Author:brk1985 |
Hits:
Description: 在广泛研究前人工作的基础上，本文对运动人物的检测、跟踪与识别进行了综述。为
使分类清楚明了，本文将人物运动分析分为两大类：人体运动分析，人脸分析。人体运动分
析包括人的较大幅度的肢体运动，如手势识别、步态分析、整个人体的运动分析；人脸分析
包括人脸检测与识别、表情分析。在详细介绍了国内外研究现状后，提出了存在的问题及研
究前景。-Extensively studied in previous work on the basis of the figures in this article on the movement detection, tracking and recognition are reviewed. To enable a clear understanding of classification, motion analysis of figures in this article will be divided into two categories: human motion analysis, analysis of human faces. Analysis of human motion including the relatively large body movements, such as gesture recognition, gait analysis, motion analysis of the human body Facial analysis includes face detection and recognition, facial expression analysis. In the study described in detail the status quo at home and abroad, the proposed study of the problems and prospects. Platform: |
Size: 357376 |
Author:martin |
Hits:
Description: Chesnokov Yuriy写的人脸检测库，内容涵盖肤色检测、运动估计、SVM分类、PCA/LDA/ICA特征提取以及神经网络分类器等。-The article demonstrates face detection SSE optimized C++ library for color and gray scale data with skin detection, motion estimation for faster processing, small sized SVM and NN rough face prefiltering, PCA/LDA/ICA/any dimensionality reduction/projection and final NN classification Platform: |
Size: 463872 |
Author:刘子木 |
Hits:
Description: 实现人体步态检测和基于步态的人体身份识别算法，主要内容包括背景的提取，人体运动区域检测，人体轮廓提取，步态特征的提取，相似性度量和分类识别-Detection of the realization of human gait and gait-based human identification algorithms, including the background of the main contents of the extraction, detection of human motion region, the body contour extraction, gait characteristics of the extraction, similarity measurement and classification Platform: |
Size: 2408448 |
Author:jack |
Hits:
Description: 运动检测的目的是从序列图像中将变化区域提取出来。运动区域的有效分割对于目标分 类、跟踪和行为理解等后期处理非常重要，因为后期处理过程仅仅考虑图像中对应于运动区 域的像素。然而，由于背景图像的动态变化，如天气、光照、影子及混乱干扰等的影响，使 得运动检测成为一项相当困难的工作。-The purpose of motion detection from image sequence changes in the region will be extracted. Sports region segmentation for effective target classification, tracking and understanding behavior such as post-processing is very important, as post-processing the image corresponds to considering only the motion region of pixels. However, due to the dynamic changes of the background image, such as weather, light, shadow and chaotic interference effects, making motion detection into a very difficult task. Platform: |
Size: 5120 |
Author:zoubinbin |
Hits:
Description: 运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、目
为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。根
列图像的背景情况可以将运动目标检测划分为静态背景下运动目标检测
态背景下运动目标检测，本章主要研究静态背景下的运动目标检测算法。
-Moving target detection is the lowest level of video surveillance systems, is the target tracking, target classification, currently the basis for understanding, etc., so video motion detection is a key link in image sequence processing. Root out the background of the image motion detection can be divided into static state of the moving target detection of moving object detection, this chapter of the static background of moving target detection algorithm. Platform: |
Size: 1311744 |
Author:欢 |
Hits:
Description: 运动目标检测是整个视频监控系统的最底层，是目标跟踪、目标分类、
标行为理解等的基础，因此运动目标检测是视频序列图像处理的关键环节。
-Moving target detection is the video surveillance system, the bottom is the target tracking, target classification, and so on the basis of standard behavior understanding, so video motion detection is the key link in image sequence processing. Platform: |
Size: 8201216 |
Author:欢 |
Hits:
Description: 运动检测，
Retrieval System
视频分类与检索，世界trieckvid大赛使用参考，-Motion detection, Retrieval System video classification and retrieval, use of the World Series trieckvid reference Platform: |
Size: 228352 |
Author:huweicn |
Hits:
Description: 针对成像平台运动情况下的运动目标检测问题，提出了一种从特征点稀疏运动场估计到运动分类的目标检测算法。
首先通过快速特征点检测与跟踪恢复出图像稀疏运动场；然后依据特征点之间运动一致性关系实现属于同一运动模式的特征
点分类，根据分类得到的各组特征点计算场景图像重建误差，剔除重建误差最小的特征点组，实现对前景目标的检测。仿真实
验对该算法在复杂场景中检测运动目标的有效性进行了验证。-】In order to detect target in the background motion video，an algorithm with 8parse motion field estimation，motion classification is prorMl．
Firstly，8pa_rl*motion field is recovered by fast local feature detection and吮king．The local features that belong to the same motion pattern are classified
according to their motion consistency．Then，the resulting local feature groups a_re used to reconstructed scene image，and the foreground targets aI_e identifled
by getting rid of the group with the least reconstruction en Dr．The proposed method is tested on the dataset of real complex scenarios and its effectiveness
is demonstrated in the results． Platform: |
Size: 1252352 |
Author:哈哈 |
Hits:
Search - MOTION CLASSIFICATION