Search - vehicles tracking

Search - vehicles tracking - List

[Documents] TRACKING IN STREAMED VIDEO BY UPDATING GLOBALLY OPTIMAL MATCHINGS DL : 0: Matching methods such as the Hungarian algorithm have recently made an appearance as an alternative to classical tracking algorithms in computer vision, since they are able to nd the set of tracks that optimizes well-dened criteria over a given video sequence. How- ever, despite being globally optimal, they carry a cost: since they require complete knowledge of the sequence, such methods can- not work with continuous video streams, a crucial requirement of realistic video surveillance applications. We were able to use the recently proposed Dynamic Hungarian Algorithm in an innovative way, adapting it to the well-known sliding window methodology. The algorithm is able to run in real-time, while retaining its opti- mality. We tested our implementation on several datasets, tracking humans and vehicles, and obtained reliable results using the same set of parameters on all sequences.
Update : 2011-05-19 Size : 339.78kb Publisher : kongsuhongbaby@126.com
[Graph program] Matlab_Tracker DL : 0: 采用Matlab编写的一个跟踪代码,能很好的跟踪汽车等刚性目标-Matlab prepared a tracking code can be a good tracking vehicles rigid targets
Update : 2025-04-04 Size : 3.92mb Publisher : bian_zg
[2D Graphic] CarCrash DL : 0: 图形车辆跟踪的算法，可以主动建立图像要跟踪的车辆数目，并跟踪，如果车辆发生碰撞则消失-Graphics vehicle tracking algorithms, can take the initiative to establish the image to track the number of vehicles and track, if the vehicle collision is the disappearance of
Update : 2025-04-04 Size : 49kb Publisher : lizhen
[SCM] Audio_Homing_Robot DL : 0: Sensing in autonomous vehicles is a growing field due to a wide array of military and reconnaissance applications. The Adaptive Communications and Signals Processing Group (ACSP) research group at Cornell specializes in studying various aspects of autonomous vehicle control. Previously, ACSP has examined video sensing for autonomous control. Our goal is to build on their previous research to incorporate audio source tracking for autonomous control.
Update : 2025-04-04 Size : 268kb Publisher : 张子凤
[Special Effects] genzong DL : 0: 基于mean-shift运动目标跟踪源码,环境在MATLAB下进行-Mean-shift-based Moving Target Tracking source code, the environment carried out in MATLAB
Update : 2025-04-04 Size : 3kb Publisher : 王磊
[AI-NN-PR] Cmeanvalue DL : 0: 基于背景差分算法和C均值聚类算法的车辆检测与跟踪-Based on background difference algorithm and C means clustering algorithm for detecting and tracking vehicles
Update : 2025-04-04 Size : 7.6mb Publisher : 牛大宝
[Graph program] meanshiftkalman DL : 0: meanshiftkamen实现的运动目标跟踪,可用于行人与车辆！-Sports meanshiftkamen implementation of target tracking, can be used for pedestrians and vehicles!
Update : 2025-04-04 Size : 17kb Publisher : 李建
[Industry research] Tracking_and_Object_Classification_for_Automated_S DL : 0: 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.
Update : 2025-04-04 Size : 1mb Publisher : brk1985
[Special Effects] Recognition DL : 0: 運動識別在摄像机监视的场景范围内，对出现的运动目标进行检测、分类及轨迹追踪，可应用于各种监控目的，如周界警戒及入侵检测、绊线检测、非法停车车辆检测等。-Movement Recognition ' scene in the scope of surveillance cameras, the emergence of the moving target detection, classification and tracking, monitoring can be applied to a variety of purposes, such as perimeter security and intrusion detection, tripwire detection, detection of illegal parking of vehicles.
Update : 2025-04-04 Size : 40kb Publisher : zhangjc
[Video Capture] Speed DL : 0: 利用摄像头采集信号的循迹车，在实线功能的基础上加入上了竞速 -Tracking vehicles
Update : 2025-04-04 Size : 1kb Publisher : 速度
[Mathimatics-Numerical algorithms] chelianggengzongjiance DL : 0: 源程序实现的是基于卡尔曼滤波的车辆检测与跟踪，并对车辆进行计数编号。-Source implementation is based on Kalman filtering vehicle detection and tracking, and count the number of vehicles.
Update : 2025-04-04 Size : 4.7mb Publisher : chenying
[Other] Digitalimageprocessingtechnology DL : 0: 计算机数字图像处理资料，阐述了数字图像处理的各方面知识以及最新进展-It is very important to achieve reliable vehicle tracking in ITS application such as accident detec- tion. But the most dicult problem associated with vehicle tracking is the occlusion eect among vehicles. In order to resolve this problem we applied the dedi- cated algorithm which we dened as Spatio-Temporal Markov Random Field model to trac images at an intersection. Spatio-Temporal MRF considers texture correlations between consecutive images as well as the correlation among neighbors within a image. As a re- sult, we were able to track vehicles at the intersection robustly against occlusions. Vehicles appear in vari- ous kinds of shapes and they move in random man- ners at the intersection. Although occlusions occur in such complicated manners, the algorithm were able to segment and track such occluded vehicles at a high success rate of 93− 96 . The algorithm requires only gray scale images and does not assume any physical models of vehicles.
Update : 2025-04-04 Size : 10.36mb Publisher : christine
[Software Engineering] MCMC_Particle_Filter_for_Real_Time_Visual_Trackin DL : 0: "MCMC Particle Filter for Real-Time Visual Tracking of Vehicles" This is a paper about tracking by particle filter. This is very useful.
Update : 2025-04-04 Size : 1.3mb Publisher : Wolf
[Other] cdf_2007-07-13 DL : 0: This is tracking source code based on "MCMC Particle Filter for Real-Time Visual Tracking of Vehicles".
Update : 2025-04-04 Size : 105kb Publisher : WangMuLan
[Other] Robust_car_tracking_using_Kalman_Filtering DL : 0: 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
Update : 2025-04-04 Size : 378kb Publisher : zhangjianrong
[matlab] WPBOF DL : 0: This method is used for tracking wavelet/optical flow-based detection for automatic target recognition in the following paper: Dessauer, M. and Dua S. “Wavelet-based optical flow object detection, motion estimation, and tracking on moving vehicles”
Update : 2025-04-04 Size : 1.29mb Publisher : MemoSergey
[GPS develop] OpenGTS_2.2.2 DL : 0: OpenGTS (Open Source GPS Tracking System) is a full featured web-based GPS tracking system for your fleet of vehicles. It supports OpenLayers and other map providers, detail/summary Reporting, and various GPS tracking devices (OpenDMTP, Mologogo, GC101). -OpenGTS (Open Source GPS Tracking System) is a full featured web-based GPS tracking system for your fleet of vehicles. It supports OpenLayers and other map providers, detail/summary Reporting, and various GPS tracking devices (OpenDMTP, Mologogo, GC101).
Update : 2025-04-04 Size : 2.52mb Publisher : tangzhenxing
[matlab] IMM DL : 0: target tracking The CV and CA models can be used to model the distance between front and host vehicles, but we don’t know when a specific model should be used. The interacting multiple model (IMM) estimator [1] is an algorithm which can be used to handle such case. In IMM algorithm, at time k the previous estimates from the multiple models are mixed based on the mixing probabilities to generate different mixed initial conditions for different filters.
Update : 2025-04-04 Size : 30kb Publisher : jailin
[OpenCV] 1 DL : 0: 基于OpenCV的视频道路车辆检测与跟踪-OpenCV-based video detection and tracking of road vehicles
Update : 2025-04-04 Size : 5.62mb Publisher : 赵伟
[matlab] target-tracking DL : 0: 考虑两辆车在道路上同向行驶，在O-16s时，两车均保持匀速直线运动，由安装在后车上的车载毫米波雷达检测出与前车的距离为150m，相对速度为-3m/s，方位角。在16-20s时，前车向右偏转，与后车的相对角加速度为。后车加速，与前车的纵向相对加速度为。雷达的扫描周期为T=0.1s，系统噪声为，。量测误差为。-Consider the two cars traveling the same direction on the road, in the O-16s, the two vehicles are kept uniform linear motion, installed in the vehicle after the car millimeter wave radar to detect the distance of the vehicle in front 150m, the relative speed- 3m/s, Azimuth. In the 16-20s, the first car to the right deflection, and the relative angular acceleration after the car is. After the vehicle acceleration, relative to the vehicle in front of the vertical acceleration. Radar scan period T = 0.1s, the system noise. Measurement error.
Update : 2025-04-04 Size : 35kb Publisher : zouyi

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