This paper proposes an effective spatiotemporal saliency model for unconstrained videos
with complicated motion and complex scenes. First, superpixel-level motion and color …

This paper proposes a superpixel-based spatiotemporal saliency model for saliency
detection in videos. Based on the superpixel representation of video frames, motion …

Human vision system actively seeks salient regions and movements in video sequences to
reduce the search effort. Modeling computational visual saliency map provides im-portant …

Video saliency detection aims to pop out the most salient regions in every frame of a video.
Up to now, many efforts have been made from various aspects for video saliency detection …

Image registration has been long used as a basis for the detection of moving objects.
Registration techniques attempt to discover correspondences between consecutive frame …

In this paper, the problem of moving object detection in aerial video is addressed. While
motion cues have been extensively exploited in the literature, how to use spatial information …

This chapter provides four sections. The first section introduces the moving object D&T
infrastructure and basis of some methods for object detection and tracking (D&T) in videos …

This paper proposes a novel bio-inspired neural system based on Self-organizing Maps
(SOMs) and Cellular Neural Networks (CNNs), called SOM-CNN, to detect dynamic objects …

Hyperspectral video sequences (HVSs) are well suited for gas plume detection (GPD). The
high spectral resolution allows the detection of chemical clouds even when they are optically …

Moving object detection is an important component of a traffic surveillance system. Usual
background subtraction approaches often poorly perform on a long outdoor traffic video due …