Description: 运动物体的跟踪，在单一背景下可以跟踪球运动的轨迹。-tracking moving objects, in a single context can track the path of the ball movement. Platform: |
Size: 60706 |
Author:黄明 |
Hits:
Description: Introduction Tokenmon is a application that monitors and displays a variety of security-related activity taking place on a system. Tokenmon gets its name from the fact that Windows NT/2000 stores a process security information, including the user account context in which the process executes, in an object called a token. The security activity Tokenmon monitors includes the following: · Logon/logoff · Enabling and disabling of privileges · Impersonation · Process creation/exit Tokenmon has advanced filtering and search capabilities that make it a powerful tool for exploring the way NT works, seeing how applications use security functions, or tracking down problems in system or application configurations. Tokenmon works on NT 4.0 and Windows 2000.-Introduction Tokenmon is a application that monitors and displays a variety of security-related activity taking place on a system. Tokenmon gets its name from the fact that Windows NT/2000 stores a process security information, including the user account the context in which the process executes, in an object called a token. The security Tokenmon monitors activity includes the following : Logon/logoff Enabling and disabling of privileges Impersonation Process creation/exit Tokenmon has advanced filtering and search capabilities that make it a powerful tool for exploring the way NT works, seeing how applications use security functions, or tracking down problems in system or application configurations. Tokenmon works on NT 4.0 and Windows 2000. Platform: |
Size: 174080 |
Author:哈哈 |
Hits:
Description: 针对夜间动态背景下的行人检测中分割算法受光照条件影响大、误识别多等问题，提出双阈值分割算法和以多目标跟踪为核心的算法框架。新的分割算法解决了行人亮度分布不均时的分割问题，同时在新的框架下可以综合多帧的处理结果进行综合判断，通过将基于支持向量机的识别算法和多目标跟踪算法的融合，降低了系统的计算量，且比一般的系统具有更高的识别率。
-At night the dynamic context of pedestrian detection segmentation algorithm affected by light conditions, and false identification of many other issues, the dual-threshold segmentation algorithm and a multi-target tracking algorithm as the core framework. New segmentation algorithm to solve the uneven distribution of brightness of pedestrians at the time of partition, while in the new framework of an integrated multi-frame can be the result of a comprehensive treatment of the judge, through the support vector machine-based recognition algorithms and multi-target tracking algorithm integration reducing system of calculating the volume, and than a typical system has a higher recognition rate. Platform: |
Size: 578560 |
Author:jacky1 |
Hits:
Description: 本程序用于提取背景检测运动物体，并对物体进行跟踪，数据来源可以是视频文件或者摄像头。-This procedure used to extract the context of moving object detection and tracking objects, data sources can be a camera or video files. Platform: |
Size: 15187968 |
Author:liuluyang |
Hits:
Description: 视频运动目标检测，包括背景预测法目标检测和帧间差分法目标检测，Meam Shift目标跟踪和多目标重心法跟踪，内含演示说明。-Video moving target detection, including the context of target detection and prediction inter-frame difference method target detection, Meam Shift target tracking and multi-purpose center of gravity method to track, including presentation notes. Platform: |
Size: 3115008 |
Author:jiaojiao003 |
Hits:
Description: 人体运动的检测与跟踪是目前计算机视觉领域中最活跃的研究方向之一，本系统介绍了一种用于视频监控的人体运动检测与跟踪系统，主要功能是对室内、室外固定背景下的运动人体进行检测，可以检测到运动的前景部分。-Human motion detection and tracking is the field of computer vision research, one of the most active, the system introduces a video monitor for human motion detection and tracking system, the main function is for indoor and outdoor fixed in the context of sports the human body detection, can detect some of the prospects for movement. Platform: |
Size: 2695168 |
Author:Humantracking.rar |
Hits:
Description: 视频演示算法包括：
1. 静态背景下的背景预测法目标检测
2. 静态背景下帧间差分法目标检测
3. Mean Shift目标跟踪方法
4. 重心多目标跟踪方法
该框架支持的视频只限于RGB非压缩Windows AVI格式，可以通过“文件”菜单下打开视频来打开视频文件。-Video Demo algorithm includes: 1. Static background prediction in the context of target detection 2. The context of inter-frame difference method for a static target detection 3. Mean Shift Object Tracking Method 4. The focus of multi-target tracking method of the framework to support the video is limited to RGB non- Compressed Windows AVI format, can use the " File" menu to open the video to open the video files. Platform: |
Size: 3106816 |
Author:wujian07 |
Hits:
Description: A context-aware system is one that gracefully adapts to user
environment changes, rendering its applications/services more personalized.
Location has been long considered as the most important context
and numerous Location Based Services have been introduced. Proximity
detection is considered as a high level proactive location based function
that detects proximity between two mobile users. This function is needed
in diverse applications such as dating services, gaming and child tracking.
This paper presents Direction-based Dynamic Shifted Circle (DDSC)
approach which takes users direction as context in providing an efficient
proximity detection technique. Simulation experiments proved that DDSC
outperforms similar algorithms that have been introduced in literature
previously, in terms of the number of messages exchanged. Platform: |
Size: 689152 |
Author:serag |
Hits:
Description: We present a real-time model-based vision approach for detecting and tracking vehicles from a moving platform. It
was developed in the context of the CMU Navlab project and is intended to provide the Navlabs with situational
awareness in mixed trac. Tracking is done by combining a simple image processing technique with a 3D extended
Kalman lter and a measurement equation that projects from the 3D model to image space. No ground plane
assumption is made. The resulting system runs at frame rate or higher, and produces excellent estimates of road
curvature, distance to and relative speed of a tracked vehicle. We have complemented the tracker with a novel
machine learning based algorithm for car detection, the CANSS algorithm, which serves to initialize tracking Platform: |
Size: 387072 |
Author:zhangjianrong |
Hits:
Description: The problem of detecting an omaly (or abnormal
event) is such that the distribution of observations is different
before and after an unknown onset time, and the objective is to
detect the change by statistically matching the observed pattern
with that predicted by a model. In the context of asymmetric
threats,1 the detection of an abnormal situation refers to the
discovery of suspicious activities of a hostile nation or group out
of noisy, scattered, and partial intelligence data.-The problem of detecting an anomaly (or abnormal
event) is such that the distribution of observations is different
before and after an unknown onset time, and the objective is to
detect the change by statistically matching the observed pattern
with that predicted by a model. In the context of asymmetric
threats,1 the detection of an abnormal situation refers to the
discovery of suspicious activities of a hostile nation or group out
of noisy, scattered, and partial intelligence data. Platform: |
Size: 1094656 |
Author:ahmed |
Hits:
Description: “Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-temporal relationships between the object of interest and its local context based on a Bayesian framework, which models the statistical correlation between the low-level features (i.e., image intensity and position) from the target and its surrounding regions. The tracking problem is posed by computing a confidence map, and obtaining the best target location by maximizing an object location likelihood function. The Fast Fourier Transform is adopted for fast learning and detection in this work. Implemented in MATLAB without code optimization, the proposed tracker runs at 350 frames per second on an i7 machine. Extensive experimental results show that the proposed algorithm performs favorably against state-of-the-art methods in terms of efficiency, accuracy and robustness. Platform: |
Size: 8955904 |
Author:happy |
Hits:
Description: 非常优秀的视觉跟踪算法，发表在eccv2014上，基于时空上下文的跟踪算法。作者非常Nice的给出了源码-spatio-temporal context tracking, very excellent tracking algorithm. the Matlab code can run at 300fps. Platform: |
Size: 7232512 |
Author:Lei |
Hits:
Description: Context tracking: Probe on high level context boundaries such as kernel and userspace. This includes syscalls and exceptions entry exit.
Platform: |
Size: 6144 |
Author:xunhonghz |
Hits:
Description: 时空上下文视觉跟踪（STC）算法的解读与代码复现，首次在论文《 Fast Trackingvia Spatio-Temporal Context Learning》提出
-Spatio-Temporal Context Learning visual tracking (STC) algorithm and code reuse existing interpretation, for the first time in the paper《Fast Trackingvia Spatio-Temporal Context Learning》presented Platform: |
Size: 553984 |
Author:deng |
Hits:
Description: Linux specific until context tracking code gets ported to BSD Last context, perform cleanup.
-Linux specific until context tracking code gets ported to BSD Last context, perform cleanup.
Platform: |
Size: 3072 |
Author:rgciunw |
Hits:
Search - context tracking