Human motion trajectory prediction: A survey
With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …
of such systems to perceive, understand, and anticipate human behavior becomes …
A comprehensive review on deep learning-based methods for video anomaly detection
Video surveillance systems are popular and used in public places such as market places,
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …
shopping malls, hospitals, banks, streets, education institutions, city administrative offices …
[PDF][PDF] 智能视频监控技术综述
黄凯奇， 陈晓棠， 康运锋， 谭铁牛 - 计算机学报, 2015 - cjc.ict.ac.cn
摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …
Transformer networks for trajectory forecasting
Most recent successes on forecasting the people motion are based on LSTM models and all
most recent progress has been achieved by modelling the social interaction among people …
most recent progress has been achieved by modelling the social interaction among people …
Social-bigat: Multimodal trajectory forecasting using bicycle-gan and graph attention networks
V Kosaraju, A Sadeghian… - Advances in neural …, 2019 - proceedings.neurips.cc
Predicting the future trajectories of multiple interacting pedestrians in a scene has become
an increasingly important problem for many different applications ranging from control of …
an increasingly important problem for many different applications ranging from control of …
Social lstm: Human trajectory prediction in crowded spaces
Humans navigate complex crowded environments based on social conventions: they
respect personal space, yielding right-of-way and avoid collisions. In our work, we propose a …
respect personal space, yielding right-of-way and avoid collisions. In our work, we propose a …
Toward human activity recognition: a survey
Human activity recognition (HAR) is a complex and multifaceted problem. The research
community has reported numerous approaches to perform HAR. Along with HAR …
community has reported numerous approaches to perform HAR. Along with HAR …
Crowded scene analysis: A survey
Automated scene analysis has been a topic of great interest in computer vision and
cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded …
cognitive science. Recently, with the growth of crowd phenomena in the real world, crowded …
Vessel pattern knowledge discovery from AIS data: A framework for anomaly detection and route prediction
G Pallotta, M Vespe, K Bryan - Entropy, 2013 - mdpi.com
Understanding maritime traffic patterns is key to Maritime Situational Awareness
applications, in particular, to classify and predict activities. Facilitated by the recent build-up …
applications, in particular, to classify and predict activities. Facilitated by the recent build-up …
Activity forecasting
We address the task of inferring the future actions of people from noisy visual input. We
denote this task activity forecasting. To achieve accurate activity forecasting, our approach …
denote this task activity forecasting. To achieve accurate activity forecasting, our approach …