Video Analysis and Tracking Using State-of-the-Art Sensors in 2018-2019

Dear Colleagues,

Object detection, identification, recognition, and tracking from video is a fundamental problem in the computer vision and image processing fields. This task requires an object modelling and motion analysis, and various types of object models have been developed for improved performance. However, a practical object detection and tracking algorithm cannot avoid a number of limitations including: Object occlusion, unstable illumination, object deformation, an insufficient resolution of input video, limited computational resources to meet the video rendering speed, to name a few. Recent developments in state-of-the-art sensors widen the application area of video object tracking by solving the practical limitations.

The objective of this Special Issue is to highlight innovative development of video analysis and tracking technologies related with various state-of-the-art sensors. Topics include, but are not limited to:

• Detection, identification, recognition and tracking objects using various sensors
• Multiple camera network or association for very wide range surveillance
• Development of non-visual sensors, such as time-of-flight sensor, RGB-D camera, IR sensor, RADAR, LIDAR, motion sensor, and acoustic wave sensor, and their applications to video analysis and tracking
• Image and video enhancement algorithms to improve the quality of visual sensors for video tracking
• Computational photography and imaging for advanced object detection and tracking
• Depth estimation and three-dimensional reconstruction for augmented reality (AR) and/or advanced driver assistance systems (ADAS)

Prof. Dr. Joonki Paik
Guest Editor

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