Infrared structured light sensors are widely employed for control applications, gaming, acquisition of dynamic and static 3D scenes. Recent developments have lead to the availability on the market of low-cost sensors, like Kinect devices, which prove to be extremely sensitive to noise, light conditions, and the geometry of the scene. The paper presents a quality enhancement strategy for Kinect-...

Automatic and privacy-preserving systems to monitor elderly people in their home environment are one of the basic targets addressed by the wide research area of Ambient Assisted Living. Thanks to the low-cost Microsoft Kinect® device, high-resolution depth and visual sensing is now not limited to experimental and prototype implementations and is ready to address marketable solutions. This chapt...

Most successful mobile robots rely on 2D radial laser scanners for perceiving the environment. The use of these sensors for reactive navigation has a serious limitation: the robot can only detect obstacles in the plane scanned by the sensor, with the consequent risk of collision with objects out of this plane. The recent commercialization of RGB-D cameras, like Kinect, opens new possibilities i...

In recent years, more and more researchers try to make Microsoft Kinect and Augmented Reality (AR) into real lives. In this paper, we try to utilize both Kinect and AR to build a dynamic fitting room. We can automatically measure the clothes size of a user in popular brands or different country standards. A user can utilize gesture to select cloths for fitting. Our proposed system will project ...

We present an interactive material acquisition system for average users to capture the spatially-varying appearance of daily objects. While an object is being scanned, our system computes its appearance on-the-fly and provides quick visual feedback. We build the system entirely on low-end, off-the-shelf components: a Kinect, a mirror ball and printed markers. We exploit the Kinect infra-red emi...

This paper presents a technique to estimate missing depth information obtained from the Microsoft Kinect. Due to the limitations of the depth sensing technology used by the Kinect, a significant loss and noise incurs when capturing depth information. The paper describes the steps needed to go from raw depth, as captured by Kinect, to a point cloud representation of the recovered missing data. O...

Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual environment and control the joints but the functionality and DOF encourage researchers to make a hand like instrument. This paper presents a novel method for fingertips detection and centres of palms detection distin...

As sensor technology has become more advanced, research projects exploring new ways in human-computer interaction have been enabled. Especially, after the Kinect released, study of gesture recognition for human-computer interaction using Kinect has become popular. Dynamic Time Warping (DTW) is one of the template matching algorithm used in the field of gesture recognition. By selecting the most...

—We introduce a novel, accurate and practical system for real-time people tracking and identification. We used a Kinect V2 sensor for tracking that generates a body skeleton for up to six people in the view. We perform identification using both Kinect and passive RFID, by first measuring the velocity vector of person's skeleton and of their RFID tag using the position of the RFID reader antenna...

This paper is a study on real-time object tracking algorithm using depth information of the Kinect and fast speeded up robust feature(SURF) algorithm. Depth information of the Kinect is used to overcome the disadvantage which continuously adaptive meanshift(Camshift) and Meanshift have of illumination and noise. Because processing time of SURF algorithm is faster than that of scale invariant fe...