A Survey of Object Detection Techniques for Improving Smart Surveillance

Surveillance of our everyday lives is becoming a necessity. Moreover, using humans to keep an eye on the intrusion is a time-consuming and exhausting process. The media almost consistently reports on new monitoring activities that have just come to light. Afterward, security is a persistent challenge among nations, thus steps are indeed being taken to increase protection from unusual happening. Furthermore, the expansion emerged drone surveillance technologies and compositions of several kinds of tools for object detection, evidently to fight crime and terrorism but in actuality employed for many other, sometimes invasive, objectives. Smart measures employing technology are being deployed with physical fences to heighten the vigilance of security personnel at the territories. The unauthorized artifacts may be identified in any video sequence using object detection methods. In order to increase the safety of a video surveillance system, this article provides a summary of the existing techniques. The primary goal of the literature survey is to identify the different approaches to both static and motion object recognition and tracking for smart surveillance. In addition, significant challenges and usages for Object Detection techniques are discussed in detail.