It is generally recognized that online shopping has both utilitarian as well as hedonic components. The primary focus of this investigation is to examine task framing (either utilitarian or hedonic) and length of viewing time (unlimited or 5 s) as conditions that influence user website perceptions and viewing behavior. Whether a task is framed as either hedonic or utilitarian received limited s...

Online object tracking is a challenging problem because of changing environment including diverse illumination and occlusion conditions. The emergence of commercial real-time depth cameras like Kinect make online RGBD-based object tracking algorithm become a focus of research. In this paper, we propose a robust online depth image-based object tracking method with sparse coding. We introduce sig...

The received signal strength (RSS)-based online tracking for a mobile node in wireless sensor networks (WSNs) is investigated in this paper. Firstly, a multi-layer dynamic Bayesian network (MDBN) is introduced to characterize the target mobility with either directional or undirected movement. In particular, it is proposed to employ the Wishart distribution to approximate the time-varying RSS me...

The ever-growing use of various vehicles for transportation, on the one hand, and the statistics ofsoaring road accidents resulting from human error, on the other hand, reminds us of the necessity toconduct more extensive research on the design, manufacturing and control of driver-less intelligentvehicles. For the automatic control of an autonomous vehicle, we need its dynamic...

The main challenge of robust object tracking comes from the difficulty in designing an adaptive appearance model that is able to accommodate appearance variations. Existing tracking algorithms often perform self-updating of the appearance model with examples from recent tracking results to account for appearance changes. However, slight inaccuracy of tracking results can degrade the appearance ...

This thesis presents a robust online learning and recognition system. The basic idea is to exploit information from tracking an object during the recognition and/or learning stage to obtain increased robustness and better recognition results. Object tracking by means of an extended MSER tracker is utilized to extract local features and construct their trajectories. Compact object representation...