We describe a two-stage method for detecting hands and their orientation in unconstrained
images. The first stage uses three complementary detectors to propose hand bounding …

Human Skin detection is one of the most widely used algorithms in vision literature which
has been numerously exploited both directly and indirectly in multifarious applications. This …

This paper proposes a tracking system called VooDoo for 3D tracking of human body
movements based on a 3D body model and the iterative closest point (ICP) algorithm. The …

In this paper we propose a new method for skin detection in color images which consists in
spatial analysis using the introduced texture-based discriminative skin-presence features …

In this project, we design a real-time human-computer interaction system based on hand
gesture. The whole system consists of three components: hand detection, gesture …

Template-based object detectors such as the deformable parts model of Felzenszwalb et
al.[11] achieve state-of-the-art performance for a variety of object categories, but are still …

In this paper, we introduce a new self-adaptive algorithm for segmenting human skin regions
in color images. Skin detection and segmentation is an active research topic, and many …

In order to enable the widespread use of robots in home and office environments, systems
with natural interaction capabilities have to be developed. A prerequisite for natural …

This paper presents a hybrid approach for tracking humans with a mobile robot that
integrates face and leg detection results extracted from image and laser range data …

The ability to robustly track a person is an important prerequisite for human-robot-interaction.
This paper presents a hybrid approach for integrating vision and laser range data to track a …