Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …

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 …

This article presents a survey on crowd analysis using computer vision techniques, covering
different aspects such as people tracking, crowd density estimation, event detection …

Detection and tracking of humans in video streams is important for many applications. We
present an approach to automatically detect and track multiple, possibly partially occluded …

For the proper understanding and modelling of pedestrian dynamics, reliable empirical data
are necessary for analysis and verification. To this end, we have performed a series of …

Automated crowd density estimation and counting are popular and important topic in crowd
analysis. The last decades witnessed different of many significant publications in this field …

While crowds of various subjects may offer applicationspecific cues to detect individuals, we
demonstrate that for the general case, motion itself contains more information than …

Segmentation and tracking of multiple humans in crowded situations is made difficult by
interobject occlusion. We propose a model-based approach to interpret the image …

We propose a shape-based, hierarchical part-template matching approach to simultaneous
human detection and segmentation combining local part-based and global shape-template …

Reliable people counting and human detection is an important problem in visual
surveillance. In recent years, the field has seen many advances, but the solutions have …