Robotics and Computer Vision Lab

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International Conference
2013.09.13 19:07

Appearance-based Gaze Estimation using Kinect

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저 자 Jinsoo Choi, Byungtae Ahn, Jaesik Park, In So Kweon
학 회 The 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2013)
Notes This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MEST) (No.2010-0028680)
논문일시(Year) 2013
논문일시(Month) 10
Human gaze tracking has gathered much attention due to its capability to detect intuitive attention. Appearance-based methods can work with a single camera in ordinary conditions to track human gaze. An effective way to generate eye appearances is proposed using the Kinect. The head pose information is obtained from the Kinect after a series of calibrations. The Eye Appearance features are collected through ASM and KLT feature tracker. With 23 training samples, the error is found to be 1.07°. This paper proposes an efficient scheme for gaze tracking using a single Kinect device.

List of Articles
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260. Fast Multiple Objects Detection and Tracking Fusing Color Camera and 3D LIDAR for Intelligent Vehicles
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1
259. Thermal Image Enhancement using Convolution Neural Network
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258. Thermal-Infrared based Drivable Region Detection
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257. Vision system and depth processing for DRC-HUBO+
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256. Efficient and Robust Color Consistency for Community Photo Collections
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255. Globally Optimal Manhattan Frame Estimation in Real-time
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254. Video-Story Composition via Plot Analysis
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253. Automatic Content-Aware Color and Tone Stylization
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252. Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry
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251. High-quality Depth from Uncalibrated Small Motion Clip
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250. Stereo Matching with Color and Monochrome Cameras in Low-light Conditions
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249. Human Action Recognition by Attention and Object Network
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247. Learning a Deep Convolutional Network for Light-Field Image Super-Resolution
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246. 6-DOF Direct Homography Tracking with Extended Kalman Filter
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245. AttentionNet: Aggregating Weak Directions for Accurate Object Detection
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244. Complementary Sets of Shutter Sequences for Motion Deblurring
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243. High Quality Structure from Small Motion for Rolling Shutter Cameras
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