On the use of snakes for 3-D robotic visual tracking

Couvignou, P.A.; Papanikolopoulos, N.; Khosla, Pradeep K.

doi:10.1109/cvpr.1993.341156

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…능동 윤곽 모델(active contour models) 혹은 스네이크라 고 불리 우는 알고리즘은 주로 한 개의 카메라로부터 얻어 지는 단일 영상(monocular images)을 이용하는 영상 처리 방 법으로 안면(얼굴) 영상 처리(facial image processing) [2,4], 객체 추적(object tracking) [3,10], 의료 영상(medical imaging) [6,7]…”

Section: 서 론 1)unclassified

A New EDGE-BASED Stereo Correspondence Method for Snake-Based Object Segmentation

Park¹,

Alattar²,

Jang³

2008

The KIPS Transactions:PartB

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In this paper, we propose a new stereo correspondence method for generating excellent external energy for snake-based object segmentation methods in stereo images. Our method first generates an edge-based disparity map by performing stereo correspondence between multi-level edge maps of the stereo image pair. Only edges of similar strength are considered for matching. To filter the disparity map for edges of the object of interest, the method estimates the object's disparity value by matching the pattern of edges of the region of interest in the left image against candidate patterns in the right image. The filtered edge map is then used to generate external energy for the snake. The proposed method has been tested on two snake models and results show a noticeable enhancement on performance of the snake when compared with other methods.

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Section: 서 론 1)unclassified

A New EDGE-BASED Stereo Correspondence Method for Snake-Based Object Segmentation

Park¹,

Alattar²,

Jang³

2008

The KIPS Transactions:PartB

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“…Active contour (snake) models for monocular images have been extensively studied and used in many applications such as facial image processing [6,9], object tracking [1,4] and medical imaging [2,8]. However, the performance of snake models degrades significantly when they encounter challenges such as boundary concavities, object occlusion, and background noise and clutter.…”

Section: Introductionmentioning

confidence: 99%

A New Stereo Correspondence Method for Snake-Based Object Segmentation

Alattar

Jang

2007

2007 IEEE International Conference on Image Processing

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In this paper, we propose a new method for generating excellent external energy for snake-based object segmentation methods in stereo images. Our method first generates an edge-based disparity map by performing stereo correspondence between multi-level edge maps of the stereo image pair. Only edges of similar strength are considered for matching. To filter the disparity map for edges of the object of interest, the method estimates the object's disparity value by matching the pattern of edges of the region of interest in the left image against candidate patterns in the right image. The filtered edge map is then used to generate external energy for the snake. The proposed method has been tested on two snake models and results show a noticeable enhancement on performance of the snake when compared with other methods.

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“…A number of approaches including optical flow [3], snakes [2], edge enhancement [6], and model-based methods [7] have been used to detect and track moving objects. Most of these approaches deal with the overall scene.…”

Section: Introductionmentioning

confidence: 99%

A real-time people counter

Conrad¹,

Johnsonbaugh

1994

Proceedings of the 1994 ACM Symposium on Applied Computing - SAC '94

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We describe a low-cost, 486-based, real-time imaging system to count people in a reasonably restricted traffic flow such as in the entryway of a building. A window of the original image, subdivided into gates, was processed to highlight the people moving through the gates. The gates were then further processed to eliminate noise, determine motion direction, and find and count the people. When the system was tested on 7491 people in heavy traffic, the accuracy was 95.6 percent.

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On the use of snakes for 3-D robotic visual tracking

Cited by 5 publications

References 5 publications

A New EDGE-BASED Stereo Correspondence Method for Snake-Based Object Segmentation

A New EDGE-BASED Stereo Correspondence Method for Snake-Based Object Segmentation

A New Stereo Correspondence Method for Snake-Based Object Segmentation

A real-time people counter

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