This research investigates the usefulness of head pose and pose change features into a Discrete Dynamic Bayesian Network to predict pedestrian's intention. In ...
This research investigates the usefulness of head pose and pose change features into a Discrete Dynamic Bayesian Network to predict pedestrian's intention. In ...
This research investigates the usefulness of head pose and pose change features into a Discrete Dynamic Bayesian Network to predict pedestrian's intention. In ...
Co-authors ; Head pose based intention prediction using discrete dynamic bayesian network. Y Huang, J Cui, F Davoine, H Zhao, H Zha. 2013 Seventh International ...
Huang et al. [5] predicted pedestrians' intention based on head pose and pose change features using a discrete dynamic Bayesian network (DBN) in the indoor ...
Mar 23, 2023 · We therefore design a hierarchical dynamic Bayesian learning network model that integrates an array of Gaussian mixture model – hidden Markov models (GMM-HMMs).
Missing: pose | Show results with:pose
Driving intention inference can anticipate the driving risk in advance, drivers have enough time to respond and avoid accident. There are several models for ...
Missing: pose | Show results with:pose
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Jan 1, 2019 · The main contribution of this paper is proposing a practical, high-performance, and low-cost maneuver-prediction approach for intelligent vehicles.
Missing: Head | Show results with:Head
The model combines four simple vision sensors: face detection, skin color, skin texture, and mouth motion. We present some promising experimental results. 1 ...
Missing: prediction | Show results with:prediction
We have developed a supervised learning framework for Bayesian networks, which is based on the Adaboost algorithm of Schapire and Freund. Our framework covers ...