With the increasing number of machine learning methods used for segmenting images and
analyzing videos, there has been a growing need for large datasets with pixel accurate …

This paper presents a parallax-robust video stitching technique for timely synchronized
surveillance video. An efficient two-stage video stitching procedure is proposed in this paper …

Finding correlations among data is one of the most essential tasks in many scientific
investigations and discoveries. This paper addresses the issue of creating a static volume …

We present an approach for real-time tracking of a non-rigid target with a moving pan-tilt-
zoom (PTZ) camera. The tracking of the object and control of the camera is handled by one …

Background modeling and foreground segmentation are the foundation of traffic surveillance
systems. The preciseness of the background model and the accuracy of the foreground …

For applications such as behavior recognition it is important to maintain the identity of
multiple targets, while tracking them in the presence of splits and merges, or occlusion of the …

Using ambient intelligence to assist people with dementia in carrying out their Activities of
Daily Living (ADLs) independently in smart home environment is an important research …

An integrated approach to detect moving vehicles, by using of gray-scale images with
complicated background, applied in intelligent traffic surveillance is proposed. In this paper …

In recent years, the interest in new technologies for wheat improvement has increased
greatly. To screen genetically modified germplasm in conditions more realistic for a field …

This study describes a complete system for multiple‐target tracking in image sequences.
The target appearance is represented as a set of weighted clusters in colour space. This is …