In this paper, we address the problem of learning an
adaptive appearance model for object tracking. In particular,
a class of tracking techniques called ātracking by detectionā...
Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
Varun Ganapathi, Christian Plagemann, Sebastian Th...
A two microphone direction of arrival (DOA) estimation technique for multiple speech sources is developed which exploits speech speciļ¬c properties, namely sparsity in time-frequ...
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...