We propose a novel Gaussian kernel based integration model (GKIM) for anomalous entities
detection and localization in pedestrian flows. The GKIM integrates spatio-temporal features …

Estimating reliable geometric model parameters from the data with severe outliers is a
fundamental and important task in computer vision. This paper attempts to sample high …

Motion segmentation is an essential task in artificial intelligence and computer vision.
However, scene motion in real-world intelligent systems usually integrates multiple types of …

Target tracking based on unmanned aerial vehicle (UAV) video is a significant technique in
intelligent urban surveillance systems for smart city applications, such as smart …

Detecting and segmenting moving objects from a moving monocular camera is challenging
in the presence of unknown camera motion diverse object motions and complex scene …

Greedy search-based guided sampling is a promising research field in model fitting to data
with multiple structures in the presence of a large number of outliers. However, these greedy …

In this paper, we propose two GAN-based deep subspace clustering approaches: deep
subspace clustering via dual adversarial generative networks (DSC-DAG) and self …

Many real-world video sequences cannot be conveniently categorized as general or
degenerate; in such cases, imposing a false dichotomy in using the fundamental matrix or …

The analysis of the video shot in basketball games and the edge detection of the video shot
are the most active and rapid development topics in the field of multimedia research in the …