Inspired by the recent success of text-based question answering, visual question answering
(VQA) is proposed to automatically answer natural language questions with the reference to …

Existing crowd counting algorithms rely on holistic, local or histogram based features to
capture crowd properties. Regression is then employed to estimate the crowd size …

In this paper we describe a system for automatic people counting in crowded environments.
The approach we propose is a counting-by-detection method based on depth imagery. It is …

To prevent disasters and to control and supervise crowds, automated video surveillance has
become indispensable. In today's complex and crowded environments, manual surveillance …

This chapter introduces the foundation for surveillance and security robots for multiple
military and civilian applications. The key environmental domains are mobile robots for …

As an important application in civilian surveillance, pedestrian counting is challenging due
to the occlusion and cluttered background. In this paper, we present an efficient people …

In this paper, we present a system for counting people on public transport. The system
consists of a single camera, and it process videos obtained from the camcorder to perform …

Object detection and classification have received increased attention recently from computer
vision and image processing researchers. Image processing views this problem at a much …

Pedestrian counting has been a challenging topic, especially in video surveillance, for a
long time due to the view variations, scale changes, and spatial occlusions. While most of …

In general terms, surveillance and monitoring technologies aim at understanding what
people do in a given environment, whether this means to ensure the safety of workers on the …