Constrained Contour Matching in Hand Posture Recognition
نویسندگان
چکیده
In this paper constrained contour models are applied for hand posture recognition in single color images. In particular, the proposed algorithm utilizes a class of physics-based modelling methods called Deformable Templates [1],[2],[3]. After colorbased image segmentation a contour hypothesis is detected and some features are extracted, suitable for comparison with the template’s geometric properties. Several metrics for matching contour templates against image data are discussed. The described methods are evaluated experimentally and referred to a known hand posture recognition algorithm.
منابع مشابه
Hand Posture Classification by Means of a New Contour Signature
This paper deals with hand posture recognition. Thanks to an adequate setup, we afford a database of hand photographs. We propose a novel contour signature, obtained by transforming the image content into several signals. The proposed signature is invariant to translation, rotation, and scaling. It can be used for posture classification purposes. We generate this signature out of photographs of...
متن کاملDevelopment of wrist contour measuring device for an interface using hand shape recognition
Recently, gesture recognition is widely used as interface. Popular gestures are mainly arm motion and whole body motion. Although hand shape is a good sign that can express rich information with small motions, few applications are in practical use. That is because the existing methods have several problems; blocks of finger sense and interference with finger motion, restrictions of hand positio...
متن کاملHand Shape Estimation Using Sequence of Multi-Ocular Images Based on Transition Network
This paper presents a method of hand posture estimation from silhouette images taken by multiple cameras. For each image, we extract a feature vector from the silhouette contour of the hand. We construct an eigenspace by the feature vectors extracted from the hands of various postures. The feature vectors projected into the eigenspace are registered as models. The matching criterion of each ima...
متن کاملEstimation of Hand Skeletal Postures by Using Deep Convolutional Neural Networks
Hand posture estimation attracts researchers because of its many applications. Hand posture recognition systems simulate the hand postures by using mathematical algorithms. Convolutional neural networks have provided the best results in the hand posture recognition so far. In this paper, we propose a new method to estimate the hand skeletal posture by using deep convolutional neural networks. T...
متن کاملInfrared Human Posture Recognition Method for Monitoring in Smart Homes Based on Hidden Markov Model
Smart homes are the most important sustainability technology of our future. In smart homes, intelligent monitoring is an important component. However, there is currently no effective method for human posture detection for monitoring in smart homes. So, in this paper, we provide an infrared human posture recognition method for monitoring in sustainable smart homes based on a Hidden Markov Model ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009