# Dynamic Queries through Augmented Reality for Intelligent Video Systems
## 1 Introduction
Most of the works focused on automated video surveillance can be split into two main approaches: (1) Surveillance system model techniques, where different approaches are concerned with the integration of various vision algorithms to build a completed \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Methodology** & **Occlusion Tolerant** & **Detection Every Frame** & **Training Rule Required** & \
\begin{tabular}{c} **Number/Type** \\ **Objects Tracking** \\ \end{tabular} \\ \hline
\begin{tabular}{c} Simple Template \\ Matching \\ \end{tabular} & Partial & No & No & One object \\ \hline SVM & Partial & No & Yes & One object \\ \hline Contour Matching & Yes & No & Yes & Multiple objects \\ \hline Shape Matching & Yes & No & No & One object \\ \hline Kalman Filter & Yes & Yes & No & Multiple objects \\ \hline Particle Filter & Yes & Yes & No & Multiple objects \\ \hline Mean Shift & Partial & No & No & One object \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The different object tracking methods. surveillance system; (2) Distribution, communication, and system design, where it is analyzed how such methods need to be integrated into large systems to mirror the needs of practical closed-circuit television (CCTV) installations in the future. When applying methods to obtain the characteristics of interest from the data, the displayed information must have visual support when interpreting the patterns obtained. Visualization is the best way to convert a large amount of information into small spaces that allow a quick and efficient interpretation of results [40]. According to works such as [41], data visualization must undergo seven steps: acquisition, grammatical analysis, filtering, data mining, representation, and representation improvement and interaction (within the representation part). Works such as [42; 43; 44; 45] indicate that visualization depends on the amount of data, the information to be displayed, the homogeneity or heterogeneity of the data, the representation medium, and the dimensionality of the data. A good visualization technique and the right technologies can turn abstract information into a visual representation that can be decoded more easily, efficiently, and meaningfully [46]. Currently, with the technological advances in recent years, new information visualization alternatives, called interactive technologies, have emerged. These seek to form a three-dimensional representation that can be captured within the real world through the projection of data, the creation of virtual scenarios that resemble what exists in the real world, and the display of information through conventional devices--such as cell phones or tablets and cellphone gadgets--which turn these technologies into tools where users can interact with the information [43; 47; 48; 49]; an example of these interactive technologies are augmented and virtual reality systems. In particular, augmented reality is a technology of great interest due to the representation of information. Augmented reality is an interactive technology that allows computer-generated three-dimensional objects to be added to the real world through a viewing device such as a monitor, a cell phone, or more specialized devices such as augmented reality glasses or headsets. This technology emerged in the late 60s [50; 51]; however, it has been widely used for about a decade due to the technological advances that facilitate its visualization. One of the characteristics that arouses the most significant interest is the improvement in user perception and interaction with the real world [52]. Among the most essential characteristics of its development are the following [50]:  
1. It combines the real and virtual world. 2. It is interactive in real time. 3. It is represented in 3D. Since it is an interactive technology, it manipulates information from visualization in the real world, therhey representing the information of interest for a different interpretation of the data.