Background-foreground tracking for video object segmentation
We present a method to segment objects of interest in video sequences by combining robust background and foreground point tracking with joint color and motion-based segmentation. Our approach is sequential in time, avoiding a global processing of the video, while being simple and generic. This makes the method attractive for online applications, including video editing or augmented reality, as it can be adapted for both automated and interactive work-flows. We present visual and quantitative experiments to compare with existing algorithms, showing promising results.