This paper presents a novel model for video salient object detection called spatiotemporal
constrained optimization model (SCOM), which exploits spatial and temporal cues, as well …

Recently, deep learning techniques have substantially boosted the performance of salient
object detection in still images. However, the salient object detection in videos by using …

General dynamic scenes involve multiple rigid and flexible objects, with relative and
common motion, camera induced or not. The complexity of the motion events together with …

To decide “Where to look next?” is a central function of the attention system of humans,
animals and robots. Control of attention depends on three factors, that is, low-level static and …

Due to the strong non-stationary properties of the vibration signal, fault diagnosis of rolling
bearing under different working conditions has become a difficulty. To address this issue, a …

Human gait identification has become an active area of research due to increased security
requirements. Human gait identification is a potential new tool for identifying individuals …

This paper describes a unified framework for the static and dynamic saliency detection by
whitening both the chromatic characteristics and the spatio-temporal frequencies. This …

In machine learning one is usually given a data set of real high dimensional vectors [special
characters omitted], based on which it is desired to select a hypothesis &thetas; from the …

This work is inspired by the vision of flying insects which enables them to detect and locate a
set of relevant objects with remarkable effectiveness despite very limited brainpower. The …