Cast Vehicle Shadow Segmentation Based on Contour Analysis

Yan, Zengjia; Zhang, Hao; Meng, Huadong; Wang, Zengjia

doi:10.1109/itsc.2007.4357714

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…The Hough transform can be described as a transformation of a point in the x, y-plane to the parameter space. (4) where is angle and is length. The time of the method is reduced further by applying the CHT only on the top area as shown in Fig.…”

Section: Helmet Detection Using Circle Hough Transformmentioning

confidence: 99%

“…The threshold for classification is also found through learning. Zengjia Yan [4] presented a novel method for vehicle shadow segmentation in a sequence of traffic images taken from a stationary camera mounted on a tall building or pedestrian crossings bridge. Knoeppel [5] proposed a robust vehicle detection system that could detect vehicles in the rear view of the host car.…”

Section: Introductionmentioning

confidence: 99%

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Motorcyclist's Helmet Wearing Detection Using Image Processing

Marayatr

Kumhom

2014

AMR

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Motorcycle accidents have been rapidly growing throughout the years in many countries. Due to various social and economic factors, this type of vehicle is becoming increasingly popular. The helmet is the main safety equipment of motorcyclists but many drivers do not use it. If a motorcyclist is without helmet an accident can be fatal. This paper presented an automatic method for vehicle detection, motorcycles classification on public roads and a system for automatic detection of motorcyclists without helmet. For processing, in first step, we detect vehicles that moving real-time by extracting back ground out from front ground using back subtraction then enhancing it using threshold and mathematical morphology method. In the second step, we classify between motorcycle and other vehicles. Area is applied for feature extraction and neural network is applied for classification. In the final step, Hough transform is applied for detecting a helmet. From the experimental results, the accuracy rates of the motorcycle classification and helmet detection were 98.22% and 77%, respectively.

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Section: Helmet Detection Using Circle Hough Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Motorcyclist's Helmet Wearing Detection Using Image Processing

Marayatr

Kumhom

2014

AMR

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show abstract

“…These two interferences need to be solved in shadow elimination step for AID system requirements. [2,3] are matching sets of 2D or 3D object models, which rely on a priori knowledge of the scene, the objects and the illumination. However, this technique has highly computational complexity and only applicable to some specific applications.…”

Section: Aid (Automatic Incident Detectionmentioning

confidence: 99%

“…Cast shadow and water railing in rainy highway video Current shadow elimination techniques are divided into two groups: model-based and property-based. Model-based techniques[2,3] are matching sets of 2D or 3D object models, which rely on a priori knowledge of the scene, the objects and the illumination. However, this technique has highly computational complexity and only applicable to some specific applications.…”

mentioning

confidence: 99%

A Color Correlation and Texture-Based Shadow Elimination Method for Rainy Highway Videos

Han

2012

AMR

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This paper presents a novel method for elimination of cast shadow and water tailing in rainy highway videos. Based on color and texture characteristics of vehicles, background, cast shadow and water tailing region, a fusion method is proposed. First, color correlation is estimated between pixels through dot product of HSI vectors. Second, the texture difference based on gradient of current region and background region is calculated. Then, these two results are fused to both eliminate cast shadow and water tailing region. Experiments show that our method is simple and efficient, also helpful to extract accurate traffic information.

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A vehicle detection approach based on multi-features fusion in the fisheye images

Cheng

Xue²

2011

2011 3rd International Conference on Computer Research and Development

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Cast Vehicle Shadow Segmentation Based on Contour Analysis

Cited by 4 publications

References 8 publications

Motorcyclist's Helmet Wearing Detection Using Image Processing

Motorcyclist's Helmet Wearing Detection Using Image Processing

A Color Correlation and Texture-Based Shadow Elimination Method for Rainy Highway Videos

A vehicle detection approach based on multi-features fusion in the fisheye images

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