Simplified Video Surveillance Framework for Dynamic Object Detection under Challenging Environment

An effective video surveillance system is highly essential in order to ensure constructing better form of video analytics. Existing review of literatures pertaining to video analytics are found to directly implement algorithms on the top of the video file without much emphasis on following problems i.e. i) dynamic orientation of subject, ii)poor illumination condition, iii) identification and classification of subjects, and iv) faster response time. Therefore, the proposed system implements an analytical concept that uses depth-image of the video feed along with the original colored video feed to apply an algorithm for extracting significant information about the motion blob of the dynamic subjects. Implemented in MATLAB, the study outcome shows that it is capable of addressing all the above mentioned problems associated with existing research trends on video analytics by using a very simple and non-iterative process of implementation. The applicability of the proposed system in practical world is thereby proven

An Integrated Framework for the Timely Detection of Petty Crimes

While petty crimes are considered misdemeanors from a judicial point of view and are typically punished with light sentences, they greatly affect citizens' perception of safety and are related to substantial financial losses. In this paper, we describe a technological solution for the timely detection of petty crimes, based on the developments of the EU project P-REACT. Concretely, a modular framework is presented where an embedded system processes in-situ a camera stream for the real-time detection of petty criminality incidents and the timely notification of authorities. This paper provides details on the various hardware options and the key software components of the system, which include a set of appropriately implemented video analytics algorithms for the detection of different petty crimes as well as modules for the capturing, transcoding and secure transmission of video clips in case of an alarm. An evaluation of the system is also provided covering both experimental results on the accuracy of the platform but also focusing on the feedback received during the trials phase of P-REACT through the participation of external stakeholders. Evaluation during this phase was based on the live demonstration of system's operation in a series of simulated events corresponding to different types of petty crimes. In both cases evaluation results were very promising, attesting to the high innovation potential of the platform