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 |
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Description: 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! Platform: |
Size: 17408 |
Author:李建 |
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Description: 这个在IEEE上下载的关于基于视频图像的车辆行人检测跟踪系统，对毕业设计有帮助-IEEE downloaded this on video images based on detection of vehicles and pedestrians tracking system designed to help graduate Platform: |
Size: 819200 |
Author:kelly1 |
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Description: opencv上目标跟踪和行人跟踪非常需要的视频序列源，来源于卡内基梅隆大学。大家共同学习-opencv target tracking and pedestrians on the track a much needed source of video sequences, from Carnegie Mellon University. We learn together Platform: |
Size: 1427456 |
Author:yuyu |
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Description: 提出了一种保护隐私的人群大小的估计，不依靠跟踪和计数的方法。-present a privacy-preserving system for estimating the size of homogeneous crowds, composed of pedestrians that travel in different directions, without using explicit object
segmentation or tracking. Platform: |
Size: 774144 |
Author:litong |
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Description: This paper presents a method that combines
colour and motion information to track pedestrians in video sequences captured by a fixed camera. Pedestrians are firstly
detected using the human detector proposed by Dalal and Triggs which involves computing the histogram of oriented gradients descriptors and classification using a linear support
vector machine. For the colour-based model, we extract a 4-dimensional colour histogram for each detected pedestrian window and compare these colour histograms between consecutive
video frames using the Bhattacharyya coefficient. For the motion model, we use a Kalman filter which recursively predicts and updates the estimates of the positions of pedestrians in the video frames. We evaluate our tracking method using videos from two pedestrian video datasets from the
web. Our experimental results show that our tracking method outperforms one that uses only colour information and can handle partial occlusion. Platform: |
Size: 484352 |
Author:linuszhao |
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Description: 利用Opencv对运动目标（包括汽车，行人）的AVI视频进行检测并跟踪。效果十分显著。 - detect and tracking the moving targets (including cars, pedestrians) AVI video detection and tracking. Effect is very significant. Platform: |
Size: 5842944 |
Author:Robin |
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Description: 摄像头固定情况下的运动行人跟踪进行研究，Mean Shift算法，与目标区域灰度直方图结合，进行运动目标的检测跟踪-tracking study of the movement of pedestrians in case of a fixed camera introduces a better application of Mean Shift algorithm Platform: |
Size: 9556992 |
Author:李强 |
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Description: 分为行人检测，特征提取，行人跟踪三步，其中最主要的代码也是这个代码的中心是行人跟踪这一部分，我采用的是kalman滤波器进行行人下一帧位置的预测，可以很好的提高行人跟踪的鲁棒性，跟踪结果比较准确。-Into pedestrian detection, feature extraction, pedestrian tracking steps, which is the center of the main code of the code is pedestrian tracking this section, I kalman filter is used to predict the position of the next frame pedestrians, can be a good improvement pedestrian tracking robustness, tracking results more accurate. Platform: |
Size: 28944384 |
Author:xiaorunxiao |
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Description: Most of my current work focuses on tracking pedestrians mobile platforms. The idea is to equip robots or cars with vision systems that can oversee the traffic situation around the car and that can give an early warning for dangerous situations. The system finds people, tracks them, and determines their trajectory relative to the mobile platform which the images are taken. We tested our system in busy urban scenarios, and provide the corresponding dataset for other researchers. The underlying methodology is to integrate different functionalities that thus far have been mainly developed separately in computer vision: recognition - tracking - 3D reconstruction for egomotion extraction.
-Most of my current work focuses on tracking pedestrians mobile platforms. The idea is to equip robots or cars with vision systems that can oversee the traffic situation around the car and that can give an early warning for dangerous situations. The system finds people, tracks them, and determines their trajectory relative to the mobile platform which the images are taken. We tested our system in busy urban scenarios, and provide the corresponding dataset for other researchers. The underlying methodology is to integrate different functionalities that thus far have been mainly developed separately in computer vision: recognition - tracking - 3D reconstruction for egomotion extraction.
Platform: |
Size: 5445632 |
Author:Taher |
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Description: This work presents the current state-of-the-art in techniques for tracking a number of objects moving in
a coordinated and interacting fashion. Groups are structured objects characterized with particular motion
patterns. The group can be comprised of a small number of interacting objects (e.g. pedestrians, sport
players, convoy of cars) or of hundreds or thousands of components such as crowds of people. The
group object tracking is closely linked with extended object tracking but at the same time has particular
features which differentiate it extended objects-This work presents the current state-of-the-art in techniques for tracking a number of objects moving in
a coordinated and interacting fashion. Groups are structured objects characterized with particular motion
patterns. The group can be comprised of a small number of interacting objects (e.g. pedestrians, sport
players, convoy of cars) or of hundreds or thousands of components such as crowds of people. The
group object tracking is closely linked with extended object tracking but at the same time has particular
features which differentiate it extended objects Platform: |
Size: 1527808 |
Author:Gomaa Haroun |
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Description: 基于C++开发平台，通过感官哈希算法对行人进行跟踪，有较好的跟踪效果-C++ based development platform, through the senses hash algorithm to track pedestrians, better tracking effect Platform: |
Size: 5527552 |
Author:刘旭杰 |
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Description: Applying image processing techniques to pedestrian detection and tracking has been a hot focus of research in Intelligent Transportation Systems (ITS) in the last decade. Automatic pedestrian detection [1] increases the safety and efficiency of traffic management and control. For example, pedestrians have to press a push button in order to get the walk signal at signalized intersections conventionally, while automatic pedestrian detection system can detect the presence of pedestrians and allocate green extension signal to ensure the pedestrians have enough time to cross the street. Platform: |
Size: 1281024 |
Author:saibaba |
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Description: In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance
cues. A layered representation is first introduced and a generalized expectation-maximization (EM) algorithm is developed to separate
infrared images into background (still) and foreground (moving) layers regardless of camera panning. In the two-pass scheme of
detecting pedestrians from the foreground layer: shape cue is first used to eliminate non-pedestrian moving objects and then appearance
cue helps to locate the exact position of pedestrians. Platform: |
Size: 1241088 |
Author:SAINATH1 |
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Search - pedestrians tracking