We present in this paper a method for de-identification of persons in a CCTV environment which uses different levels of filtering depending on the privacy sensitivity of the region of interest. The proposed method tries to tackle the problem of re-identifying (de-filtering) a person which has committed a crime. Validation of the method shows low results in privacy as a result of the identity of...

PURPOSE To examine the outcome of inpatient diagnostic closed circuit TV-EEG (CCTV-EEG) monitoring in a consecutive series of elderly patients admitted to an adult epilepsy-monitoring unit (EMU) over a continuous 6-year period. METHODS Retrospective review of all admissions to a university hospital adult EMU. Those older than 60 years were identified. Patients who were monitored for status ep...

Video surveillance and machine vision systems are attracting growing academic and industrial interests. The market for digital CCTV systems is constantly growing because of terror attacks, crime, vandalism, and violence in public and also in business domains. The turnover for CCTV products for video surveillance is estimated to grow by 10% per year in Europe and by 13% per year worldwide, reach...

CCTV and sensor based surveillance systems are part of our daily lives now in this modern society due to the advances in telecommunications technology and the demand for better security. The analysis of sensor data produces semantic rich events describing activities and behaviours of objects being monitored. Three issues usually are associated with events descriptions. First, data could be coll...

Pemuda Karang Taruna di Desa Cikedokan, Kecamatan Cikarang Barat, Kabupaten Bekasi, sebagai salah satu wadah sosial desa, saat ini terus berupaya mengembangkan usaha ekonomi produktif mandiri dengan memanfaatkan potensi dan sumber daya yang dimiliki. Hal dilakukan untuk menciptakan kesejahteraan stabilitas bagi generasi muda. Berbagai kegiatan fungsi bertujuan produktif. Keterbatasan pengetahua...

CCTV and sensor based surveillance systems are part of our daily lives now in this modern society due to the advances in telecommunications technology and the demand for better security. These systems are traditionally used in forensic mode – finding evidence in video images when certain events detected or happened. In recent years, research and development on events detection in real time CCTV...

Traffic closed-circuit television (CCTV) devices can be used to detect and track objects on roads by designing applying artificial intelligence deep learning models. However, extracting useful information from the detected determining occurrence of traffic accidents are usually difficult. This paper proposes a CCTV frame-based hybrid accident classification model that enables identification whe...