An Efficient Method for the Detection of Missing Person from Crowd
Akhil MP · International Journal for Research in Applied Science and Engineering Technology · 2020
Numerous cases of missing are reported in Kerala.Our local department has the mechanism to watch every point on city.But it's not effectively helpful to seek out the missing person.It is found difficult to seek out an individual from crowd.During this paper, we present a mechanism to seek out the missing person or object from crowd by using opencv and image processing.The image of the person is subjected to image processing, which is taken as input for tracking the person or object from crowd using opencv.When the person or object is detected from video of crowd, an alert system is employed as a reminder.When an alert signal is produced, the authority can take necessary action within a short time.The objects are detected using one shot learning in real time scenarios.Main objective of the one shot learning is to detect various objects in real time video sequences.Once the network is trained by employing a single image of an individual, then the trained model can recognize that person in any angle.This real time analysis of the environment enables security and surveillance.This model can be implemented in different surveillance devices to detect attacks on many places like schools, government offices and hospitals where arms are completely restricted.