We present a novel pedestrian detection system based on probabilistic component assembly. A part-based model is proposed which uses three parts consisting of head-shoulder, torso a...
Martin Rapus, Stefan Munder, Gregory Baratoff, Joa...
This paper presents an automatic system for the monitoring of indoor environments using pan-tilt-zoomable cameras. A combination of Haar-feature classifier-based detection and co...
Keni Bernardin, Florian van de Camp, Rainer Stiefe...
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These ...
Abstract— This paper presents an investigation of a neuralbased technique for detecting and quantifying persons in beach imagery for the purpose of predicting trends of tourist a...
Abstract. Efficient data mining for digital video has become increasingly important in recent years. In this paper, we present a new scheme for automatic detection of slow-motion r...