… of video analytics as well as its application. We present advances in video analytics research
… This paper presents a general overview of video analytics, current state-of-the-art method …

… In this section, some popular human tracking methods in the context of crowd video analysis
are discussed. The reader is referred to the survey by Yilmaz et al. [5] for a comprehensive …

… The Lagrangian methods we will use to define our framework have their origins in the
theory of dynamical systems and have been formalized in the context of time-dependent …

… results from conducting the analytical simulation, we want to showcase the feasibility of our
method in an edge-assisted video analytics system. In this part, we describe the experiment …

… propose a road recognition method, which can detect the road regions in a video frame. The
… RoI for traffic video analysis tasks. In the end, we use some real traffic video sequences from …

… user-friendly video analytic for … video analytics using template matching methods is illustrated
in Fig. 1. It works in three steps. Firstly, a template is selected from the first frame of a video…

… Model (IVAM) also known as Human Object Detection (HOD) method for analyzing and
detecting video-based abundant objects and abnormal human activities. IVAM can be deployed …

… the broader field of video analytics using deep learning with … methodologies and current
deep learning ideas have been evaluated. This work explains the many modern methodologies …

… Methodology: Over the video dataset from a Microsoft campus garage, we execute two
end-to-end user queries: amber alert and car re-identification across 10-100 sets of input. For …

… method with intelligent and biometrical technologies served as the basis for developing the
Affect-Based Built Environment Video Analytics (… an inhabitant-centered method for mining …