Social Grouping for Multi-Target Tracking and Head Pose Estimation in Video

Head Pose Estimation for Sign Language Video

We address the problem of estimating three head pose angles in sign language video using the Pointing04 data set as training data. The proposed model employs facial landmark points and Support Vector Regression learned from the training set to identify yaw and pitch angles independently. A simple geometric approach is used for the roll angle. As a novel development, we propose to use the detect...

Sampling techniques for audio-visual tracking and head pose estimation

Analyzing people behaviors in smart environment using multimodal sensors requires to answer a set of typical questions: who are the people, where are they, what activities are they doing, when, with whom are they interacting, and how. In this view, locating people or their faces and characterizing them (e.g. extracting their body or head orientation) allows to address the first two questions (w...

A Real-Time System for Head Tracking and Pose Estimation

Driver’s visual attention provides important clues about his/ her activities and awareness. To monitor driver’s awareness, this paper proposes a real-time person-independent head tracking and pose estimation system using a monochromatic camera. The tracking and head-pose estimation tasks are formulated as regression problems. Three regression methods are proposed: (i) individual mapping on imag...

A Video Database for Head Pose Tracking Evaluation

Multiple Target Tracking in Wireless Sensor Networks Based on Sensor Grouping and Hybrid Iterative-Heuristic Optimization

A novel hybrid method for tracking multiple indistinguishable maneuvering targets using a wireless sensor network is introduced in this paper. The problem of tracking the location of targets is formulated as a Maximum Likelihood Estimation. We propose a hybrid optimization method, which consists of an iterative and a heuristic search method, for finding the location of targets simultaneously. T...