Shape-based pedestrian detection and tracking

Gavrila, Dariu M.; Giebel, J.

doi:10.1109/ivs.2002.1187920

Cited by 76 publications

(54 citation statements)

References 24 publications

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“…Many computer vision based applications [1][2][3] depend on accurate detection and segmentation of pedestrians from a given background as a first step in their algorithmic process.…”

Section: Introductionmentioning

confidence: 99%

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Pedestrian Detection Using Stereo and Biometric Information

Kelly

Cooke

O’Connor

et al. 2006

Lecture Notes in Computer Science

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Abstract. A method for pedestrian detection from real world outdoor scenes is presented in this paper. The technique uses disparity information, ground plane estimation and biometric information based on the golden ratio. It can detect pedestrians even in the presence of severe occlusion or a lack of reliable disparity data. It also makes reliable choices in ambiguous areas since the pedestrian regions are initiated using the disparity of head regions. These are usually highly textured and unoccluded, and therefore more reliable in a disparity image than homogeneous or occluded regions.

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“…Many computer vision based applications [1][2][3] depend on accurate detection and segmentation of pedestrians from a given background as a first step in their algorithmic process.…”

Section: Introductionmentioning

confidence: 99%

“…Some require a certain camera orientation which is difficult to achieve in outdoor scenarios [4], others search images for pedestrian shapes [3]. Multiple cues, such as skin color and face detection, have also be applied [5].…”

Section: Introductionmentioning

confidence: 99%

Pedestrian Detection Using Stereo and Biometric Information

Kelly

Cooke

O’Connor

et al. 2006

Lecture Notes in Computer Science

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“…The better object segmentation process will result in a better level of accuracy as well. The simplest and fast segmentation process is background subtraction techniques as in the study [57]- [61]. However, the background subtraction techniques have weakness when applied to dynamic environments.…”

Section: Detection Processmentioning

confidence: 99%

A Survey of Pedestrian Detection in Video

Solichin¹,

Harjoko²,

Putra³

2014

ijacsa

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Abstract-Pedestrian detection is one of the important topics in computer vision with key applications in various fields of human life such as intelligent vehicles, surveillance and advanced robotics. In recent years, research related to pedestrian detection commonplace. This paper aims to review the papers related to pedestrian detection in order to provide an overview of the recent research. Main contribution of this paper is to provide a general overview of pedestrian detection process that is viewed from different sides of the discussion. We divide the discussion into three stages: input, process and output. This paper does not make a selection or technique best method and optimal because the best technique depends on the needs, concerns and existing environment. However, this paper is useful for future researchers who want to know the current researches related to pedestrian detection.

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“…Gavrila and Giebel (2002) proposed to use a hierachy of human contour templates obtained after a training. This hierachy is used with the chamfer matching algorithm to detect people.…”

Section: Visible-only Detectionmentioning

confidence: 99%

How to improve the HOG detector in the UAV context

Blondel

Potelle

Pégard

et al. 2013

IFAC Proceedings Volumes

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The well known HOG (Histogram of Oriented Gradients) of Dalal and Triggs is commonly used for pedestrian detection from 2d moving embedded cameras (driving assistance) or static cameras (video surveillance). In this paper we show how to use and improve the HOG detector in the UAV context. In order to increase the elevation angular robustness we propose to use a more appropriate training dataset and sliding windows. We show results on synthetic images.

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Shape-based pedestrian detection and tracking

Cited by 76 publications

References 24 publications

Pedestrian Detection Using Stereo and Biometric Information

Pedestrian Detection Using Stereo and Biometric Information

A Survey of Pedestrian Detection in Video

How to improve the HOG detector in the UAV context

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