title: Accurate estimation of human body orientation from RGB-D sensors.
abstract: Accurate estimation of human body orientation can significantly enhance the analysis of human behavior, which is a fundamental task in the field of computer vision. However, existing orientation estimation methods cannot handle the various body poses and appearances. In this paper, we propose an innovative RGB-D-based orientation estimation method to address these challenges. By utilizing the RGB-D information, which can be real time acquired by RGB-D sensors, our method is robust to cluttered environment, illumination change and partial occlusions. Specifically, efficient static and motion cue extraction methods are proposed based on the RGB-D superpixels to reduce the noise of depth data. Since it is hard to discriminate all the 360 (°) orientation using static cues or motion cues independently, we propose to utilize a dynamic Bayesian network system (DBNS) to effectively employ the complementary nature of both static and motion cues. In order to verify our proposed method, we build a RGB-D-based human body orientation dataset that covers a wide diversity of poses and appearances. Our intensive experimental evaluations on this dataset demonstrate the effectiveness and efficiency of the proposed method.
authors.forename: Wu
authors.initials: W
authors.lastname: Liu
authors.forename: Yongdong
authors.initials: Y
authors.lastname: Zhang
authors.forename: Sheng
authors.initials: S
authors.lastname: Tang
authors.forename: Jinhui
authors.initials: J
authors.lastname: Tang
authors.forename: Richang
authors.initials: R
authors.lastname: Hong
authors.forename: Jintao
authors.initials: J
authors.lastname: Li
mesh_terms: D056044:Actigraphy / Q000295:instrumentation / Q000379:methods; D000465:Algorithms; D001185:Artificial Intelligence; D016287:Computer Peripherals; D003198:Computer Simulation; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009949:Orientation / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D011187:Posture / Q000502:physiology*; D014159:Transducers; D018910:Video Games; D051598:Whole Body Imaging / Q000295:instrumentation / Q000379:methods*