Graph matching, which refers to a class of computational problems of finding an optimal
correspondence between the vertices of graphs to minimize (maximize) their node and edge …

This paper comprehensively surveys the development of trajectory clustering. Considering
the critical role of trajectory data mining in modern intelligent systems for surveillance …

Description-based person re-identification (Re-id) is an important task in video surveillance
that requires discriminative cross-modal representations to distinguish different people. It is …

Due to the advancement of camera hardware and machine learning techniques, video
object tracking for surveillance has received noticeable attention from the computer vision …

Recognizing aerial image categories is useful for scene annotation and surveillance. Local
features have been demonstrated to be robust to image transformations, including …

In fisheye images, rich distinct distortion patterns are regularly distributed in the image
plane. These distortion patterns are independent of the visual content and provide …

The pedestrian trajectory prediction task is an essential component of intelligent systems. Its
applications include but are not limited to autonomous driving, robot navigation, and …

Understanding and predicting human motion behavior with social interactions have become
an increasingly crucial problem for a vast number of applications, ranging from visual …

Multiple hypothesis tracking addresses difficult multiple target tracking problems by making
association decisions using multiple scans or frames of data. This paper reviews forty years …

People naturally escape from a place when unexpected events happen. Based on this
observation, efficient detection of crowd escape behavior in surveillance videos is a …