Video big data in smart city: Background construction and optimization for surveillance video processing

Distributed Processing for Big Data Video Analytics

Distributed Video Coding with Background Modeling for Wireless Video Surveillance

Video compression takes a very important part in multimedia communication. New applications require constrained resources in terms of power, computational complexity, memory and robustness. Distributed video coding (DVC) provides a solution to achieve such constraints. However, DVC has a low coding efficiency, the overall performance is lower than the H.264/AVC [1] codec. In low-motion scenes s...

Domotics for disability: smart surveillance and smart video server

In this paper we address the problem of human posture classification, in particular focusing to an indoor surveillance application. The approach was initially inspired to a previous works of Haritaoglou et al. [6] that uses histogram projections to classify people’s posture. Projection histograms are here exploited as the main feature for the posture classification, but, differently from [6], w...

Video Compression and Data Flow for Video Surveillance Whitepaper

Executive Summary The desire for increased security has catapulted the popularity of video surveillance systems, which are now widely deployed in places such as airports, banks, public transportation centers and even private homes. The many problems associated with traditional analog-based systems are influencing the push for digital-based systems. Furthermore, with the growing popularity of co...

Smooth Foreground-Background Segmentation for Video Processing

We propose an efficient way to account for spatial smoothness in foreground-background segmentation of video sequences. Most statistical background modeling techniques regard the pixels in an image as independent and disregard the fundamental concept of smoothness. In contrast, we model smoothness of the foreground and background with a Markov random field, in such a way that it can be globally...