Description: This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and prediction of movements, extracts shape information from the video frames to detect individuals, and applies texture features to recognize people. A search strategy creates trajectories and new pedestrian hypotheses and then filters and combines those into accurate counting events. We show that counting accuracies up to 98 % can be achieved. Platform: |
Size: 2122036 |
Author:harleych |
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Description: This paper presents a data-oriented tracking framework which aims to recover the spatio-temporal trajectories for an unknown number of interacting objects appearing and disappearing at arbitrary times. Data association is performed at three-levels of a hierarchy: (i) rst, trajectory segments and an associated quality measure are generated by a local analysis of the space-time distribution of observations; (ii) a conservatively constrained association step links nearby consistent segments into intermediate trajectory fragments; and (iii) a last as- sociation step taking into account all available data (observations, trajectory fragments) generates the nal trajectory estimates. The association step relies on the Hungarian algorithm and it also con- siders detection responses below the detection threshold as evidence associated with high ambiguity. We demonstrate the feasibility of the proposed approach applied to the pedestrian tracking task on two challenging datasets. Platform: |
Size: 886354 |
Author:kongsuhongbaby@126.com |
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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: 介绍了一个使用三维激光摄像机对道路上的自行车辆和行人进行检测和跟踪的实时系统-Introduction of a three-dimensional laser camera to use on the road to vehicular and pedestrian detection and tracking of real-time systems Platform: |
Size: 84992 |
Author:谭园芳 |
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Description: 人形目标检测与跟踪，对于视频图像，用方框或椭圆标出检测出的行人运动目标，以实现对目标的跟踪；
-Humanoid target detection and tracking, for the video images, using the box or oval marked pedestrian moving targets detected in order to achieve the target tracking Platform: |
Size: 8623104 |
Author:张晓风 |
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Description: 用matlab编写的视频目标跟踪程序，可以跟踪路上的行人-Prepared using matlab video target tracking program, you can track the path of pedestrian Platform: |
Size: 621568 |
Author:吴军 |
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Description: 对室内的行人定位跟踪算法进行研究：包括基于RSS的KNN室内定位算法、基于RSS的卡尔曼滤波算法、融合RSS和DR的粒子滤波算法
等。-indoor pedestrian position tracking algorithm is studied, such as the KNN localization algorithm based on the RSS, the kalman filter algorithe based on the RSSthe particle filter algorithm which is fusion of RSS DR and Map information. Platform: |
Size: 5120 |
Author:yang |
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Description: 这是一份用行人轮廓的分布直方图分类和识别步态的资料，不错的资料-This is a histogram with the pedestrian profile information classification and gait recognition, good information Platform: |
Size: 442368 |
Author:zhangbingbing |
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Description: 基于背景减除的行人跟踪，识别率还算说的过去-Pedestrian tracking based on background subtraction, the recognition rate still said in the past
Platform: |
Size: 6345728 |
Author:张军 |
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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: 基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的-This paper proposes a powerful and robust local descriptor,called textureorientation
descriptor(TOD). TOD consists of two components: texture and
orientation. Considering that the human shape shows more short, fragmentary
and vertical edges, the proposed TOD descriptor encodes the spatial information
of pedestrian image. We combine the proposed TOD representation
model with mean shift framework to perform pedestrian tracking. Results
from experiments show the improved performance of the proposed algorithm,
in the scenarios of heavy occlusions, illumination variations and similar
objects interference, when compared with the other descriptors based trackers. Platform: |
Size: 5120 |
Author:邹温林 |
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Description: 在视频场景中检测到行人的存在，并用红色矩形框对行人进行跟踪-In the presence of a pedestrian is detected in the video scene, and with a red rectangle pedestrian tracking Platform: |
Size: 6817792 |
Author: |
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Description: 使用微机械惯性测量单元进行步态检测，计算行人运动的轨迹。Gait-Tracking-With-x-IMU-master(The gait is detected by a micro mechanical inertial measurement unit, and the trajectory of the pedestrian is computed.) Platform: |
Size: 3245056 |
Author:sxfly
|
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Description: The emergence of personal mobile device with
low cost sensors, such as accelerometer and digital compass,
has made dead-reckoning (DR) an attractive choice for indoor
pedestrian tracking. In this paper, we propose a robust DR
pedestrian tracking system on top of such commercially accessible
sensor sets capable of DR. The proposed method exploits the
fact that, multiple DR systems, carried by the same pedestrian,
have stable relative displacements with respect to the center
of motion, and therefore to each other. Platform: |
Size: 471040 |
Author:SAINATH1 |
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Search - pedestrian tracking