Results 241 to 250 of about 2,864,786 (285)
Some of the next articles are maybe not open access.
Hand gesture detection and extraction
2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013A novel algorithm for detecting and extracting hand gestures is proposed which uses an on-line adaptive learning approach to fit the hand skin color distribution of each individual user in various environments. The on-line adaptive skin-color learning approach is designed by two strategies: negative skin-color exclusion and dynamic skin-color standard ...
Yea-Shuan Huang +2 more
openaire +1 more source
2022
<p>Gully erosion affects land and water resources, resulting in serious environmental and socio-economic consequences. To aid mitigation and rehabilitation efforts, gully susceptibility mapping of broader gully-prone regions should be augmented by the rapid detection of existing gully features. Numerous works have been published on (semi-)
George Olivier +2 more
openaire +1 more source
<p>Gully erosion affects land and water resources, resulting in serious environmental and socio-economic consequences. To aid mitigation and rehabilitation efforts, gully susceptibility mapping of broader gully-prone regions should be augmented by the rapid detection of existing gully features. Numerous works have been published on (semi-)
George Olivier +2 more
openaire +1 more source
Hand detection using facial information
2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2016This paper presents a robust hand detection algorithm using the facial information. The proposed algorithm consists of four steps: (i) detection of a face, (ii) generation of regions of interest (ROI) to detect hands, (iii) skin color extraction from the face region, and (iv) detection of hands using the face skin color in the ROI.
Sangpil Han +3 more
openaire +1 more source
Detection of Osteoarthritis from Multimodal Hand Data
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022Osteoarthritis (OA) describes a degenerative joint disorder that is prevalent among older people and typically results in swollen and inflamed joints. The aim of this paper is to develop a method using images, videos and thermal data of 100 patients taken at Keio University Hospital to detect OA in hands. By using hand pose estimation on the video data,
Julian Jorge, Andrade Guerreiro +3 more
openaire +2 more sources
Template-Based Hand Detection and Tracking
2005Within this paper a technique for model-based 3D hand tracking is presented. A hand model is built from a set of truncated quadrics, approximating the anatomy of a real hand with few parameters. Given that the projection of a quadric onto the image plane is a conic, the contours can be generated efficiently.
Cipolla, R +3 more
openaire +2 more sources
Robust hand detection in Vehicles
2016 23rd International Conference on Pattern Recognition (ICPR), 2016The problems of hand detection have been widely addressed in many areas, e.g. human computer interaction environment, driver behaviors monitoring, etc. However, the detection accuracy in recent hand detection systems are still far away from the demands in practice due to a number of challenges, e.g.
T. Hoang Ngan Le +4 more
openaire +1 more source
Adulterants detected in hand sanitizers
C&EN Global Enterprise, 2021As COVID-19 case numbers grew during the pandemic, so did the market for alcohol-based hand sanitizers.
openaire +1 more source
Hand gesture pointing location detection
Optik, 2014Abstract Gesture recognition has been implemented in many systems for different purposes. The way it is used can be different from system to system. Few used them as touch objects using sensors while few use them as pointing object where the camera is in front of the hand, but the location is being pointed by human, can be detected only if the camera
J.L. Raheja +2 more
openaire +1 more source
Structured forests for pixel-level hand detection and hand part labelling
Computer Vision and Image Understanding, 2015Introduce structured learning to pixel-level hand labelling task.Robust & efficient for binary hand detection and multi-class hand part labelling.Novel structured split criterion.Superior performance due to better utilizing training data. Hand detection has many important applications in Human-Computer Interactions, yet it is a challenging problem ...
Xiaolong Zhu +2 more
openaire +3 more sources
Hand detection for virtual touchpad
Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, 2011There are many different kinds of pointing devices for interaction between human and computer. One of the most used and developed pointing devices is the mouse. However, traditional mouse has a limited degree of controls. Another device is the touchpad, the counterpart of the mouse that is usually embedded on laptops.
Gerard Edwin, Iping Supriana
openaire +1 more source

