Video Surveillance technique is actually the main difficulty with homeland safety measures subject. It can be used as being a safety measures program because of its power to monitor and detect a particular person. This paper provides a survey of various methods associated with Video surveillance technique improving your safety measures. The aim of this particular report would be to review of se...

Soccer analytics is attracting increasing interest in academia and industry, thanks to the availability of data that describe all spatio-temporal events occur each match. These (e.g., passes, shots, fouls) are collected by human operators manually, constituting a considerable cost for providers terms time economic resources. In this paper, we PassNet, method recognize most frequent soccer, i.e....

The object tracking is the technique which is used to track object from the image or from the video. The video consists of multiple frames and in each frame location of that object had been predicted. To predict location of the object technique of probability has been applied and this technique works on single object. In this paper, improvement has been proposed in probability based technique t...

This paper discusses the technical challenges in maritime image processing and machine vision problems for video streams generated by cameras. Even well documented problems of horizon detection and registration of frames in a video are very challenging in maritime scenarios. More advanced problems of background subtraction and object detection in video streams are very challenging. Challenges a...

in this study, a numerical computational fluid dynamics study is conducted in order to predict the aerodynamic forces on the np car. the turbulent air flow around the car is modeled using the realizable k-ε model. first, results are validated against those presented for the ahmed’s body. next, the fluid flow around the car is simulated for different car speeds ( to mph) and flow directions ( to...

Object detection and classification are the basic tasks in video analytics and become the starting point for other complex applications. Traditional video analytics approaches are manual and time consuming. These are subjective due to the very involvement of human factor. We present a cloud based video analytics framework for scalable and robust analysis of video streams. The framework empowers...

In recent years due to various kind of social activities such as theft, bomb attack and other terrorist attack preventive security measures at public places has gained lot of importance. Abandoned Object detection is most crucial task in visual surveillance system. Many Public or open areas are facilitated with cameras at multiple angles to monitor the security of that area for keeping citizens...

For the video salient object detection (VSOD) task, how to excavate information from appearance modality and motion has always been a topic of great concern. The two-stream structure, including an RGB stream optical flow stream, widely used as typical pipeline for VSOD tasks, but existing methods usually only use features unidirectionally guide or adaptively blindly fuse two features. However, ...