Target Recognition Based on Polar Coordinate Template Matching

2013 ◽  
Vol 712-715 ◽  
pp. 2368-2371
Author(s):  
Ce Yao ◽  
Chun Bo Xiu
Keyword(s):  
Template Matching ◽  
Tracking System ◽  
Second Phase ◽  
Invariant Property ◽  
Matching Method ◽  
Rotation Invariant ◽  
Polar Coordinate ◽  
Invariant Properties ◽  
Candidate Point ◽  
Complete Matching

In order to improve the rotation invariant property of the conventional template matching method, a novel template matching based on the polar coordinate was proposed. The origin of the polar coordinate was at the center of the template. And the matching result was central symmetry, which made the method have the translation and rotation invariant properties simultaneously. The recognition process was divided into two phased. In the first phase, gray information was used to complete matching calculation, and some candidate points were selected according to the matching result. In the second phase, edge strong matching of candidate points was completed. The candidate point, where the sum of gray matching value and edge strong matching value was minimal, was determined as the best matching point. Experiments results show that this method can meet the real-time requirement of the TV tracking system.

Template Matching Based on Polar Coordinate

2012 ◽  
Vol 524-527 ◽  
pp. 3774-3777
Author(s):  
Xu Juan Miao ◽  
Xiao Fei Li
Keyword(s):  
Template Matching ◽  
Tracking System ◽  
Criterion Function ◽  
Matching Criterion ◽  
Matching Algorithm ◽  
Tracking Process ◽  
Long Time ◽  
Polar Coordinate ◽  
Simulation Results ◽  
Template Updating

A new template matching algorithm based on polar coordinate is proposed to improve the performance of the tracking system. The shape of the matching template is round, and the pixels in the template and the matching area are arranged into circle, which can ensure the rotation invariance of the method. Some differential matching information is added into the matching criterion function, which makes the method have higher recognition precision. In the long time target tracking process, template updating operation is adopted to avoid losing the target. Simulation results prove that the method can be applied in the TV tracking system. Using the same controller, the method has better tracking performance.

scholarly journals An Adaptive Superpixel Based Hand Gesture Tracking and Recognition System

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Hong-Min Zhu ◽  
Chi-Man Pun
Keyword(s):  
Template Matching ◽  
Tracking System ◽  
Recognition System ◽  
Appearance Model ◽  
Hand Gesture ◽  
Svm Classifier ◽  
Motion Trajectory ◽  
Hand Motion ◽  
Target Hand ◽  
Gesture Tracking

We propose an adaptive and robust superpixel based hand gesture tracking system, in which hand gestures drawn in free air are recognized from their motion trajectories. First we employed the motion detection of superpixels and unsupervised image segmentation to detect the moving target hand using the first few frames of the input video sequence. Then the hand appearance model is constructed from its surrounding superpixels. By incorporating the failure recovery and template matching in the tracking process, the target hand is tracked by an adaptive superpixel based tracking algorithm, where the problem of hand deformation, view-dependent appearance invariance, fast motion, and background confusion can be well handled to extract the correct hand motion trajectory. Finally, the hand gesture is recognized by the extracted motion trajectory with a trained SVM classifier. Experimental results show that our proposed system can achieve better performance compared to the existing state-of-the-art methods with the recognition accuracy 99.17% for easy set and 98.57 for hard set.

Using orientation codes for rotation-invariant template matching

2004 ◽  
Vol 37 (2) ◽  
pp. 201-209 ◽  
Author(s):  
Farhan Ullah ◽  
Shun'ichi Kaneko
Keyword(s):  
Template Matching ◽  
Rotation Invariant

scholarly journals Dynamic target template matching for railway catenary suspension motion detection in wind area

2018 ◽  
Vol 14 (9) ◽  
pp. 155014771879795 ◽  
Author(s):  
Wei Zhou ◽  
Heting Xiao ◽  
Zhonggang Wang ◽  
Lin Chen ◽  
Shaoqing Fu
Keyword(s):  
Template Matching ◽  
Three Dimensional ◽  
Moving Target ◽  
Maximum Relative Error ◽  
Gradual Change ◽  
Matching Method ◽  
Safety Research ◽  
Target Template ◽  
Target Templates ◽  
Dynamic Target

A dynamic target template matching method was proposed to identify railway catenary suspension movements of wind-induced vibration in wind area. Catenary positioning point was taken as the target template, which was compared with equal-sized image sequentially using the proposed matching difference. And, three-dimensional contour map of matching difference value at each sub-area was obtained, where the target pixel coordinates were determined by the minimum matching difference value. Considering the complex imaging condition, the target template was updated by the detected target image to sense the gradual change of illumination conditions like brightness and contrast. Furthermore, to eliminate detecting errors due to wind-induced camera vibration, both static and moving target templates were identified for acquiring the absolute motion of the moving target. Finally, validation test was performed with animation in PowerPoint. The calculated target displacement agrees well with theoretical motion with maximum relative error of 1.8%. And experiment application was conducted at site by analyzing the relationship between detecting displacement and wind speed. Results indicate that the proposed dynamic target template matching method can meet required engineering precision and provide an effective way for wind-vibration safety research of railway catenary system in wind area.

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