No abstract

An advanced and user-friendly tool for fast labeling of moving objects captured with surveillance sensors is proposed, which is available to the public. This tool allows the creation of three kinds of labels: moving objects, shadows and occlusions. These labels are created at both the pixel level and object level, which makes them suitable to assess the quality of both moving object detection strategies and tracking algorithms. The labeling can be performed easily and quickly thanks to a very friendly graphical user interface that allows one to automatize many common operations. This interface also includes some semiautomatic advanced tools that simplify the labeling tasks and drastically reduce the time required to obtain high-quality results.

Image segmentation is a fundamental step in many image processing applications. To achieve high-quality segmentations active contours are commonly used. However, state of art strategies are not able to provide successful results in all the conditions. Additionally, the strategies that get the best overall results are computationally expensive and need to manually set some parameters, which decreases their usability.Here, we propose a novel active contours-based segmentation method that, through the combination of boundary-based and regionbased energies and a multiresolution analysis, provides very highquality results while significantly increasing both the computational efficiency and the usability of previous approaches.