The performance of single cue object tracking algorithms may degrade due to complex
nature of visual world and environment challenges. In recent past, multicue object tracking …

With the wide applications of vision based intelligent systems, image and video analysis
technologies have attracted the attention of researchers in the computer vision field. In …

Evaluating the performance of computer vision algorithms is classically done by reporting
classification error or accuracy, if the problem at hand is the classification of an object in an …

In this article, we introduce the DAily Home LIfe Activity (DAHLIA) Dataset, a new dataset
adapted to the context of smart-home or video-assistance. Videos were recorded in realistic …

In this paper, we address the multiple target tracking problem as a maximum a posteriori
problem. We adopt a graph representation of all observations over time. To make full use of …

There are numerous distributed efforts on performance evaluation of computer vision
algorithms. Information exchange between programs can expedite achievement of the …