A literature review on video analytics of crowded scenes

M Thida, YL Yong, P Climent-Pérez, H Eng… - … : Current Trends and …, 2013 - Springer
This chapter presents a review and systematic comparison of the state of the art on crowd
video analysis. The rationale of our review is justified by a recent increase in intelligent …

Modelling, synthesis and characterisation of occlusion in videos

A Roy, P Chattopadhyay, S Sural… - IET Computer …, 2015 - Wiley Online Library
Occlusion is one of the most challenging problems in many video processing applications
such as surveillance, gait recognition, activity recognition and so on. Attempts have been …

[图书][B] Covariance based point cloud descriptors for object detection and classification

DA Fehr - 2013 - search.proquest.com
Processing 3D point data is of primary interest in many areas of computer vision, including
object grasping, robot navigation, and 3D object recognition. The recent introduction of …

Video tracking of human with occlusion based on Meanshift and Kalman filter

BH Yuan, DX Zhang, K Fu, LJ Zhang - Applied Mechanics and …, 2013 - Trans Tech Publ
In order to accomplish tracking of moving objects requirements, and overcome the defect of
occlusion in the process of tracking moving object, this paper presents a method which uses …

Occlusion alleviation through motion using a mobile robot

D Fehr, WJ Beksi, D Zermas… - … on Robotics and …, 2014 - ieeexplore.ieee.org
Object segmentation and classification is an important and difficult task in robotic vision. The
task is complicated even further when the different objects are partially or completely …

Smart video surveillance of pedestrians: fixed, aerial, and multi-camera methods

P Climent Perez - 2016 - eprints.kingston.ac.uk
Crowd analysis from video footage is an active research topic in the field of computer vision.
Crowds can be analaysed using different approaches, depending on their characteristics …

[引用][C] 3D Computer Vision & Augmented Reality

G Bleser, D Stricker