… visual surveillance. This paper presents a survey of trajectory-based surveillance applications
… Park, “Vision-based remote control system by motion detection and open finger counting,” …

… including autonomous driving, surveillance, human-robot interaction… review, we have
identified four major visionbased applications namely, video prediction, action prediction, trajectory …

… Path prediction is the task of estimating the path, or trajectory, along which a target (eg, a …
, such as surveillance camera analysis, self-driving cars, and autonomous robot navigation. …

… data were used to perform trajectory and behavior analysis of vehicles passing at an in…
large amounts of trajectories based on a group of route models built from trajectory clustering. In […

… limitations, we survey the VD that mainly focuses on both surveillance and non-… survey
literature, we comprehensively discuss the VD datasets used in surveillance and non-surveillance …

… learning methods in trajectory modelling and prediction with GPS data. The aforementioned
… scale surveillance image/videobased database [80]. Meanwhile, vision-based detection is a …

… learning-based approaches have been categorized into different methods by their objectives
and learning … are discussed thoroughly for the vision-based domain. This paper also …

… First, this paper classifies all kinds of traffic monitoring analysis … Finally, we analyze the
existing traffic monitoring challenges … trajectory analysis into those based on statistical learning …

… trajectory for learning normal trajectory. In [121], a Fisher vector corresponding to each …
In this article, we have revisited important computer vision–based survey papers. Then we ex…

… trajectory etc. Although, a significant research effort have been dedicated to improve video-based
traffic surveillance … A recent survey [1] presented the state of the art vehicle surveillance …