In this paper an algorithm which is able to count the number of fingers from a hand posture is presented. The method is based on hand contour and skin colour information. The middle axes of the fingers are detected. The method is robust regard the hand edge detection.
The recognition of hand gestures from image sequences is an important and challenging problem. This paper presents a robust solution to track and recognize a list of hand gestures from their trajectory. The main tools of the proposed solution are robust kernel density estimation and the related mean shift algorithm, used in both video tracking and… (More)
The evolution of user interfaces shapes the changes in Human-Computer Interaction (HCI). Direct use of hand as an input device is an attractive method for providing natural HCI. The applications of gesture recognition are manifold, ranging from sign language to medical rehabilitation to virtual reality. In this paper we present a brief review of vision… (More)
Known as nerve sheath myxoma too, neurothekeoma are benign tumors, usually arise in the skin of the head, neck region and upper extremities, in young females. Cerebral neurothekeoma are very rare, a few cases were already described in the parasellar area, in the middle cranial and posterior fossa. We present a petro-clival neurotekoma. A 78-year-old male… (More)
This work proposes a compositional approach to hand posture recognition, using sparse features. The hand posture is decomposed into relevant compositions which are learned for each hand posture class without supervision; no hand segmentations or localization during training is needed. To learn relevant composition prototypes, an entropy range maximization… (More)
New results obtain with the compositional technique for hand posture recognition is presented. Compositional methods are a powerful approach in image understanding. Most papers using this concept address image categorization problems. We recently propose a hand pose recognition method using the compositional approach. In this paper we present further… (More)
– The Lidar (LIght Detection And Ranging) sensor produced by Siemens uses five infrared beams to detect targets up to a distance of approximately 250 m. The paper describes the tests witch has been develop using our new software in order to visualize the detected targets. We used our program in the detection of different types of targets, placed at… (More)