Provisional application No. 60/819,423,? led on Jul. 7, 2006- Adaptive vision-based vehicle
detection methods, taking into account the lighting context of the images are disclosed. The …

Multi-mode video event indexing includes determining a quality of object distinctiveness with
respect to images from a video stream input. A high-quality analytic mode is selected from …

This paper proposes a novel lightweight security-enabled distributed software-defined drone
network (SDDN) for traffic monitoring. Security of drone/Unmanned Aerial Vehicles (UAV) …

A video-based monitoring system must be capable of continuous operation under various
weather and illumination conditions. Moreover, background subtraction is a very important …

The traffic monitoring system is an imperative tool for traffic analysis and transportation
planning. In this paper, we present WiTraffic: the first WiFi-based traffic monitoring system …

Traffic surveillance is an important topic in computer vision and intelligent transportation
systems and has intensively been studied in the past decades. However, most of the state-of …

Visual surveillance from low-altitude airborne platforms plays a key role in urban traffic
surveillance. Moving vehicle detection and motion analysis are very important for such a …

Due to the recent progress in computer vision to interpret images and sequence of images,
the video camera is a promising sensor for traffic monitoring and traffic surveillance at low …

This paper presents a novel framework for tracking thousands of vehicles in high resolution,
low frame rate, multiple camera aerial videos. The proposed algorithm avoids the pitfalls of …

The most common approach used for vision-based traffic surveillance consists of a fast
segmentation of moving visual objects (MVOs) in the scene together with an intelligent …