Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

This paper presents a survey on the latest methods of moving object detection in video
sequences captured by a moving camera. Although many researches and excellent works …

Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …

This paper conducts a systematic study on the role of visual attention in Unsupervised Video
Object Segmentation (UVOS) tasks. By elaborately annotating three popular video …

We address the problem of Foreground/Background segmentation of “unconstrained” video.
By “unconstrained” we mean that the moving objects and the background scene may be …

This paper presents an online feature selection mechanism for evaluating multiple features
while tracking and adjusting the set of features used to improve tracking performance. Our …

Instance level video object segmentation is an important technique for video editing and
compression. To capture the temporal coherence, in this paper, we develop MaskRNN, a …

Existing optical flow methods make generic, spatially homogeneous, assumptions about the
spatial structure of the flow. In reality, optical flow varies across an image depending on …

Video sensors become particularly important in traffic applications mainly due to their fast
response, easy installation, operation and maintenance, and their ability to monitor wide …

This paper conducts a systematic study on the role of visual attention in video object pattern
understanding. By elaborately annotating three popular video segmentation datasets …