Vehicle classification has evolved into a significant subject of study due to its importance in
autonomous navigation, traffic analysis, surveillance and security systems, and …

This paper proposes a pulse-coupled neural network (PCNN) with multichannel (MPCNN)
linking and feeding fields for color image segmentation. Different from the conventional …

Applying visual tracking technology to dynamic systems is important to many industrial
applications. However, image sensing is difficult to implement in a fast dynamic plant without …

Background subtraction is important for detecting moving objects in videos. Currently, there
are many approaches to performing background subtraction. However, they usually neglect …

This study presents efficient vision-based finger detection, tracking, and event identification
techniques and a low-cost hardware framework for multi-touch sensing and display …

Primarily, this paper introduces a framework for all-day service traffic which states
recognition in traffic monitoring videos without vehicle segmentation. It proposes the …

For pearls and other smooth alike lustrous jewels, the apparent shininess is one of the most
important factors of beauty. This paper proposes an approach to automatic assessment of …

This work proposes a plausible approach for a humanoid robot to define its own body based
on visuomotor correlation. The high correlation of motion between vision and proprioception …

A novel approach to automatically detect vehicles in road tunnels is presented in this paper.
Non-uniform and poor illumination conditions prevail in road tunnels making difficult to …