Three workshop proposals have been accepted for August 27, 2013 (one day before the main conference program):
See the details for each workshop below.
Motivation: The automatic analysis of faces in images and videos plays an important role in many different areas, such as video surveillance, human-computer/human-robot interaction, video games, or augmented reality just to name a few. Despite much improvement in the quality of the captured image or video data, the actual face image resolution is often very small in many applications (<30 pixels wide), for example in video surveillance due to the distance of the persons from the sensor. Further, the high variability of the visual appearance, different view points, uncontrolled lighting conditions, partial occlusions, as well as non-rigid deformations due to facial expressions make reliable face analysis a challenging task.
Scope: This workshop aims to bring together researchers to discuss novel, generic approaches related to the automatic analysis of low-resolution face images and videos. The submitted papers should address one or several of the following research topics:
Motivation: Distributed sensor systems have become a highly active research area due to their potential for providing diverse new capabilities applications. By analyzing information from different sensors it is possible to monitor activities in large, complex areas such as buildings, airports, road and rail networks, sport grounds. Multiple distributed sensing systems can provide more confident deductions about the events of interest and reduce ambiguities , caused by using a single sensor (in number or in typology).The focus of the Workshop is on distributed computing issues in large scale networked sensor systems (including algorithms and applications, systems design techniques and tools, and in-network signal and information processing). The Workshop is the natural evolution of previous AMMCSS, with the generalization to multiple distributed sensing instead of only multi-camera systems. We would like to invite original research papers describing significant results by using multiple distributed sensing for monitoring and surveillance purposes.
Scope: The aim of this workshop is to bring together researchers from different communities, such as computer vision, networked embedded sensing, artificial intelligence, etc., to explore the problem of interpretation of information captured by multiple distributed sensing systems, and in particular:
Motivation: In video surveillance, the most important objects are people and vehicles. This workshop will focus on vehicles. Specifically, we will explore solutions to the practical problem of finding a given vehicle from an array of surveillance cameras using criteria such as the size, model, or color. Other potentially differentiating characteristics include whether a vehicle is a taxi, a delivery truck or a police car. Furthermore, a search might be based on the location of the vehicle (i.e. north side of the highway, in the parking area behind the building) or the behavior of the vehicle (i.e. speed, direction of travel, whether the vehicle is parked illegally, involvement in an accident or drive-by shooting). In the last few years, a number of studies have been undertaken to classify vehicles according to their type, make, model or color. However, the evaluation of each of these classification methods has been performed on in-house datasets. Since each dataset involves its own camera viewpoints, lighting conditions and resolutions, there has been no way to compare the relative merits of these methods.
Scope: In this workshop, we seek submissions from researchers working in this arena, with the goal of designing and building a public dataset, creating standardized evaluation criteria, and exploring new ideas in vehicle retrieval.The submitted papers should address one or several of the following research topics: