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Kinect Sensor based Object Feature Estimation in Depth Images

초록

영어

Kinect is a motion-sensing device which was originally developed for the Xbox 360 gaming console. This recently developed low-cost sensor detects the body position, motion, and voice; it consists of a microphone, a RGB camera, and a depth sensor. Kinect is PC-centric sensor which allows developers to develop real-life applications with human gestures and body motions. This paper presents an approach to interpret the indoor room objects in order to match the objects features in depth images captured from an RGBD video database. The dataset consists of color and depth image pairs gathered in real-time indoor home environment. The objects features are matched in depth image pairs with the feature association method to detect stable features at different time instances.

목차

Abstract
 1. Introduction
 2. Review of Related Work
 3. Components of Kinect Sensor
  3.1. Color Camera
  3.2. Infrared (IR) Emitter and IR Depth Sensor
  3.3. Tilt Motor
  3.4. Microphone Array and LED
 4. Depth Image Matching with the Proposed Method
 5. Results & Discussion
 6. Conclusion
 References

저자정보

  • Kajal Sharma Piorville Apartment, 24 Namyang-Dong, Seongsangu, Changwon, Korea

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