Tracking 3D objects from 2D image data often leads to jittery tracking results. In general, unsmooth motion is a sign of tracking errors, which, in the worst case, can cause the tracker to loose the tracked object. A straightforward remedy is to demand temporal consistency and to smooth the result. This is often done in form of a post-processing. In this paper, we present an approach for online...

The ability for an autonomous robot to track and identify multiple humans and understand their intentions is crucial for socialized human-robot interactions in dynamic environments (Michalowski and Simmons 2006). Take CoBot (Rosenthal, Biswas, and Veloso 2010) trying to enter an elevator as an example. When the elevator door opens, suppose there are multiple humans occupied, CoBot needs to trac...

Over many years transaction log analysis (also called log analysis, log file analysis, or log tracking, and more lately web logging, web log file analysis, and web tracking) has been used to collect information on how information systems such as online library catalogues (OPACs), online and CD-ROM databases, and web-based products and systems are used. The first reports on such transaction logs...

Enterprises are seeking novel approaches to reduce cost in complying with regulations and requirements from original equipment manufacturers. Consequently, enterprises are investing in manufacturing execution system (MES) solutions for realizing these requirements. However, most of the MES solutions do not support processing of real-time process data acquired from shop floor for online monitori...

The fast compressive tracking (FCT) algorithm is a simple and efficient algorithm, which is proposed in recent years. But, it is difficult to deal with the factors such as occlusion, appearance changes, pose variation, etc in processing. The reasons are that, Firstly, even if the naive Bayes classifier is fast in training, it is not robust concerning the noise. Secondly, the parameters are requ...

This, paper presents a video object motion tracking architecture that can be used for very low bit rate online video applications. The architecture prototypes a 2D mesh-based video object motion tracking algorithm. It can be used as a building block for 2D mesh-based video object systems such as MPEG-4 and MPEG-7 systems. Moreover, the power consumption and the delay show that the prototype can...

We present a novel analysis of the state of the art in object tracking with respect to diversity found in its main component, an ensemble classi er that is updated in an online manner. We employ established measures for diversity and performance from the rich literature on ensemble classi cation and online learning, and present a detailed evaluation of diversity and performance on benchmark seq...

This work 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 detect local features and construct their trajectories. Compact object representations a...

In this paper, a novel adaptive tracking controller is proposed for mobile robots in presence of wheel slip and external disturbance force based on neural networks with online weight updating laws. The uncertainties due to the wheel slip and external force are compensated online by neural networks in order to achieve the desired tracking performance. The online weight updating laws are modified...

Although online boosting algorithm has received an increasing amount of interest in visual tracking, it is susceptible to class-label noise. Slight inaccuracies in the tracker can result in incorrectly labeled examples, which degrade the classifier and cause drift. This paper proposes a kernel regression based online boosting method for robust visual tracking. A nonlinear recursive least square...