The deep learning technique has proven to be effective in the classification and localization
of objects on the image or ground plane over time. The strength of the technique's features …

Ubiquitousness of multiple cameras in surveillance systems is very beneficial for studying
peoples behavior. The multiple views of the observed scene permit the management of …

Multi-object tracking in video surveillance is subjected to illumination variation, blurring,
motion, and similarity variations during the identification process in real-world practice. The …

Nowadays, multi-sensor networks are evolving into large scale networks with limited
bandwidth and energy reservoirs. Hence, reducing the number of information exchanges …

The work presented in this Ph. D. thesis focuses on developing a large-scale distributed
video surveillance system for tracking suspicious moving objects and analysing their …

In this paper, we propose an effective and robust decentralized tracking scheme based on
the square root cubature information filter (SRCIF) to balance the energy consumption and …

Visual tracking has been a popular task in computer vision in recent years, especially for
long-term tracking. A novel object tracking framework is proposed in this paper. For …

With the increasing availability and affordability of cameras, pedestrian detection and
tracking technology have become widely used in various applications such as intelligent …

A novel low-power distributed Visual Sensor Network (VSN) system is proposed, which
performs real-time collaborative barcode localization, tracking, and robust identification. Due …

The current paper investigates a multisensory speaker tracking approach, combining sound
localization with visual object detection and tracking. The sound localization module …