People Involved : Koustav Ghosal & Anoop Namboodiri
Extracting robust motion trajectories from videos is an active problem in Computer Vision. The task is more challenging in unconstrained videos in presence of dynamic background, blur, camera motion and affine irregularities. But once extracted, one can retrieve the videos based on them by giving an online (temporal) sketch as a query. But different individuals have different perception about motion trajectories and hence sketch differently. Through this work we are trying to extract robust trajectories from unconstrained videos and then model the sketch in a way so that the perceptual variability among different sketches is removed.