Automatic Camera Calibration Method by Using Width Information for Hand Gesture Tracking System

2005 ◽  
Vol 59 (4) ◽  
pp. 581-587
Author(s):  
Hirotake Yamazoe ◽  
Akira Utsumi ◽  
Kenichi Hosaka ◽  
Masahiko Yachida
Keyword(s):  
Camera Calibration ◽  
Tracking System ◽  
Calibration Method ◽  
Hand Gesture ◽  
Gesture Tracking ◽  
Automatic Camera Calibration

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.

scholarly journals Constrained Multiple Planar Reconstruction for Automatic Camera Calibration of Intelligent Vehicles

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4643
Author(s):  
Sang Jun Lee ◽  
Jeawoo Lee ◽  
Wonju Lee ◽  
Cheolhun Jang
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Image Features ◽  
Intelligent Vehicles ◽  
Point Problem ◽  
Reconstruction Method ◽  
Calibration Methods ◽  
The World ◽  
Extrinsic Parameters ◽  
Automatic Camera Calibration

In intelligent vehicles, extrinsic camera calibration is preferable to be conducted on a regular basis to deal with unpredictable mechanical changes or variations on weight load distribution. Specifically, high-precision extrinsic parameters between the camera coordinate and the world coordinate are essential to implement high-level functions in intelligent vehicles such as distance estimation and lane departure warning. However, conventional calibration methods, which solve a Perspective-n-Point problem, require laborious work to measure the positions of 3D points in the world coordinate. To reduce this inconvenience, this paper proposes an automatic camera calibration method based on 3D reconstruction. The main contribution of this paper is a novel reconstruction method to recover 3D points on planes perpendicular to the ground. The proposed method jointly optimizes reprojection errors of image features projected from multiple planar surfaces, and finally, it significantly reduces errors in camera extrinsic parameters. Experiments were conducted in synthetic simulation and real calibration environments to demonstrate the effectiveness of the proposed method.

An automatic camera calibration method based on checkerboard

2017 ◽  
Vol 34 (3-4) ◽  
pp. 209-226
Author(s):  
QILIN BI ◽  
ZHIJUN LIU ◽  
MIAOHUI WANG ◽  
MINLING LAI ◽  
LEMING XIAO ◽  
...  
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Automatic Camera Calibration

An Adaptive KLT Algorithm for Hand Gesture Tracking

2013 ◽  
Vol 706-708 ◽  
pp. 623-628
Author(s):  
Huang Xin
Keyword(s):  
Human Computer Interaction ◽  
State Of The Art ◽  
Tracking System ◽  
Adaptive Method ◽  
Experimental Results ◽  
Hand Gesture ◽  
Feature Points ◽  
Tracking Algorithms ◽  
Gesture Tracking ◽  
Conventional Methods

With the development of human-computer interaction technology, hand gesture is widely investigated recently for its natural and convenient properties. In view of the disadvantage of the existing tracking algorithms for the hand gesture, a novel adaptive method based on KLT is proposed in this paper, in which a kind of filtering mechanism is applied to decrease the effects of noise and illumination on tracking system. In order to eliminate the error of tracking, the strategy based on confidence is utilized properly. However, because the hand is non-rigid, its shape often changes, which easily leads to tracking failure for the reduction of features. In order to solve the problem, a method for appending the feature points is introduced. Experimental results indicate that the method presented in this paper is state of the art robustness in our comparison with related work and demonstrate improved generalization over the conventional methods.

Research on Fully Automatic Camera Calibration Method

2013 ◽  
Vol 33 (6) ◽  
pp. 0612007 ◽  
Author(s):  
许勇 Xu Yong ◽  
郭鹏宇 Guo Pengyu ◽  
龙古灿 Long Gucan ◽  
张小虎 Zhang Xiaohu ◽  
于起峰 Yu Qifeng
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Fully Automatic ◽  
Automatic Camera Calibration

A Fully Automatic Camera Calibration Method Based on Planar Target

2014 ◽  
Vol 34 (10) ◽  
pp. 1015004
Author(s):  
卜鹏辉 Bu Penghui ◽  
赵宏 Zhao Hong ◽  
谷飞飞 Gu Feifei ◽  
马跃洋 Ma Yueyang ◽  
李欢欢 Li Huanhuan
Keyword(s):  
Camera Calibration ◽  
Calibration Method ◽  
Planar Target ◽  
Fully Automatic ◽  
Automatic Camera Calibration
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