Automated surveillance systems observe the environment utilizing cameras. The observed
scenario is then analysed using motion detection, crowd behaviour, individual behaviour …

With the increasing number of surveillance cameras in both indoor and outdoor locations,
there is a grown demand for an intelligent system that detects abnormal events. Although …

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 …

To model the indeterminacy of human behaviors, stochastic trajectory prediction requires a
sophisticated multi-modal distribution of future trajectories. Emerging diffusion models have …

Smart city services, smart applications and smart devices form an ecosystem of tools and
artifacts that challenge, and times even disrupt, conventions, norms, and rites of behavior …

To realize trajectory prediction, most previous methods adopt the parameter-based
approach, which encodes all the seen past-future instance pairs into model parameters …

Abstract While re-identification (Re-Id) of persons has attracted intensive attention, vehicle,
which is a significant object class in urban video surveillance, is often overlooked by vision …

Compared with person reidentification, which has attracted concentrated attention, vehicle
reidentification is an important yet frontier problem in video surveillance and has been …

Donald Trump, the Arab Spring, Brexit: digital media have provided political actors and
citizens with new tools to engage in politics. These tools are now routinely used by activists …

Intelligent multi-camera video surveillance is a multidisciplinary field related to computer
vision, pattern recognition, signal processing, communication, embedded computing and …