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CVPR
2012
IEEE
11 years 7 months ago
Contextual Boost for Pedestrian Detection
Pedestrian detection from images is an important and yet challenging task. The conventional methods usually identify human figures using image features inside the local regions. In...
Yuanyuan Ding, Jing Xiao

Dataset
1270views
11 years 9 months ago
Mall Dataset
The mall dataset was collected from a publicly accessible webcam for crowd counting and profiling research. Ground truth: Over 60,000 pedestrians were labelled in 2000 video fra...

Publication
344views
11 years 10 months ago
A Method for Pedestrian Position Estimation using Inter-Vehicle Communication
In this paper, we propose a method for detecting the positions of pedestrians by cooperation of multiple cars with directional antennas to support drivers for pedestrian safety. In...
Sawa, Y., Kitani, T., Shibata, N., Yasumoto, K., I...

Presentation
921views
11 years 10 months ago
A Method for Pedestrian Position Estimation using Inter-Vehicle Communication
In this paper, we propose a method for detecting the positions of pedestrians by cooperation of multiple cars with directional antennas to support drivers for pedestrian safety. In...
ICCV
2011
IEEE
12 years 4 months ago
Conditional Random Fields for Multi-Camera Object Detection
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
Xavier Boix, Gemma Roig, Horesh Ben Shitrit, Pasca...
ACCV
2010
Springer
12 years 11 months ago
A Heuristic Deformable Pedestrian Detection Method
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
Yongzhen Huang, Kaiqi Huang, Tieniu Tan
ECCV
2010
Springer
13 years 3 months ago
Disparity Statistics for Pedestrian Detection: Combining Appearance, Motion and Stereo
Pedestrian detection is an important problem in computer vision due to its importance for applications such as visual surveillance, robotics, and automotive safety. This paper push...
Stefan Walk, Konrad Schindler, Bernt Schiele
TCSV
2008
166views more  TCSV 2008»
13 years 4 months ago
A Framework for Evaluating Stereo-Based Pedestrian Detection Techniques
Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been inve...
Philip Kelly, Noel E. O'Connor, Alan F. Smeaton

Publication
353views
13 years 5 months ago
Online Multi-Person Tracking-by-Detection from a Single, Uncalibrated Camera
In this paper, we address the problem of automatically detecting and tracking a variable number of persons in complex scenes using a monocular, potentially moving, uncalibrated ca...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
ECCV
2008
Springer
13 years 6 months ago
Multiple Instance Boost Using Graph Embedding Based Decision Stump for Pedestrian Detection
Pedestrian detection in still image should handle the large appearance and stance variations arising from the articulated structure, various clothing of human as well as viewpoints...
Junbiao Pang, Qingming Huang, Shuqiang Jiang