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Human action recognition based on the depth information provided by commodity depth sensors is an important yet challenging task. The noisy depth maps, different lengths of action sequences, and free styles in performing actions, may cause large intra-class variations. In this paper, a new framework based on sparse coding and temporal pyramid matching (TPM)(More)
This paper presents an approach for real-time multivehicle tracking and counting under fisheye camera based on simple feature points tracking, grouping and association. Different from traditional cameras, the main challenge under fisheye cameras is that the objects being tracked suffer from severe distortion and perspective effects in even adjacent frames.(More)
—A situational awareness system is essential to provide accurate understanding of power system dynamics, such that proper actions can be taken in real time in response to system disturbances and to avoid cascading blackouts. Event analysis has been an important component in any situational awareness system. However, most state-of-the-art techniques can only(More)
Automatic facial image analysis has received considerable research interests due to its important role in computer vision and biometrics. As the key component, face feature is usually extracted under largely controlled environment and learnt for specific tasks which limits its discriminant capability in a multi-task learning scenario. In this paper, we(More)
The ChemCam instrument package on the Mars rover, " Curiosity " , is the first planetary instrument that employs laser-induced breakdown spectroscopy (LIBS) to determine the compositions of geological samples on another planet. However , the sampled spectra are imperfect for elemental concentration estimation because of the inevitable sampling noises, the(More)