Multimodal fusion has become one of the hottest topics in affective computing and other
research areas. Yet, this topic is less studied in surveillance systems. In general, it focused …

In video-surveillance, violent event detection is of utmost interest. Although action
recognition has been well studied in computer vision, literature for violence detection in …

Stressful situations are likely to occur at human operated service desks, as well as at human–
computer interfaces used in public domain. Automatic surveillance can help notifying when …

Multimodal fusion is a complex topic. For surveillance applications audio–visual fusion is
very promising given the complementary nature of the two streams. However, drawing the …

Multimodal fusion has become a hot topic in computer vision. For surveillance applications
detecting unwanted behavior such as aggression is a complex task. The definition of …

We propose a new method for audio-visual sensor fusion and apply it to automatic
aggression detection. While a variety of definitions of aggression exist, in this paper we see …

By analyzing a multimodal (audio-visual) database with aggressive incidents in trains, we
have observed that there are no trivial fusion algorithms to successfully predict multimodal …

This paper presents a novel hybrid sensor-based intrusion detection system for low-power
surveillance in an empty, sealed indoor space with or without illumination. The proposed …

The use of sensor networks has been proposed for military surveillance and environmental
monitoring applications. Those systems are composed of a heterogeneous set of sensors to …

Within the affective computing and social signal processing communities, increasing efforts
are being made in order to collect data with genuine (emotional) content. When it comes to …