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Human Detection in Video Surveillance Systems

With crimes on the rise all around the world, the importance of video surveillance cannot be overstated. Security cameras play a vital role in constant monitoring and surveillance of an area, deterring crime, and identifying potential threats. Additionally, they can provide valuable evidence in the event of a crime or incident, aiding in investigations and ensuring justice is served. With the advancement of AI technologies, most IP security cameras are equipped with advanced video analytics features such as human/people detection, vehicle detection, and facial recognition now, so you can secure the monitored sites zone by zone and reduce the nuisance of false alarms. In today’s blog, we will explore what is human detection and how it works.



What’s Human Detection?


Video analytics uses high-tech algorithms to identify properties of objects (humans, cars, animals, buildings, etc.) in a video stream and track them frame by frame. Among all, human detection is an important feature that allows for more effective monitoring and surveillance of a certain area. It allows security cameras to distinguish between human presence and other moving objects, such as animals or cars, and alert security personnel to potential threats. Human detection is essential for ensuring the safety and security of people and property, which is particularly useful in areas where high-value assets are being protected, such as banks, airports, and government buildings. By detecting potential threats early, security personnel can take swift action to prevent any harm from occurring.

How Does It Work?


Human detection in security cameras works by using advanced technologies such as artificial intelligence (AI) and machine learning algorithms. The camera’s software is programmed to recognize the unique features of human beings, such as their shape, size, and movement patterns, which allows the camera to distinguish between humans and other objects, such as animals or vehicles. The process of human detection begins with the camera capturing an image or video feed of the monitored area. The camera then analyzes the image or video to identify any human-like shapes or movement patterns, and such an analysis is based on a set of pre-defined criteria. Once the camera has identified a potential human presence, it will trigger an alert or alarm to notify security personnel. In some cases, more advanced cameras may also provide additional information about the detected human, such as their location and the direction of movement.



The Applications of Human Detection in Video Surveillance


A significant amount of work can be done by human detection in a wide range of settings. Here, we have some convincing examples of human detection in real life.

People Counting

One of the most important applications of human detection in video surveillance is people counting. It can be used to track the number of people entering or leaving a particular area, such as a shopping mall or stadium. The human detection camera is an essential tool for security and management purposes, as it enables organizations to monitor the flow of people. This advanced technology can be implemented in various ways, including using thermal imaging cameras, infrared sensors, and other video analytics techniques to accurately count the number of people passing through a particular area, even in low-lighting conditions or crowded spaces.



Pedestrian Detection

Pedestrian detection is another important application of human detection. It uses advanced algorithms to analyze video footage and identify human shapes and movements. It can be used to identify pedestrians in real-time, distinguishing walking passers-by from fast-moving vehicles. Human behavioral patterns become more predictable with the effective use of both human detection and motion detection technologies, so you can identify their movement more easily. This allows security personnel to focus their attention on potential threats and quickly respond to any incidents. It is commonly used in public spaces such as train stations, airports, and city centers.



Gender Classification

Another application of human detection in video surveillance is gender classification. It helps identify the gender of individuals captured in the footage, using machine learning algorithms to analyze facial features and body movements and determine gender. It is highly accurate and can identify gender even in challenging conditions with the help of infrared night vision. Moreover, the information gathered by the camera can then be used for multiple purposes to tailor marketing campaigns, improve traffic flow, and enhance security measures. You can analyze the gender of the people who come to your shop through your security camera recordings and adjust your business strategies accordingly.



Top 3 Technical Issues in Human Detection


Power as it is, it should be noticed that human detection is not always foolproof. There are several factors that can affect the accuracy of human detection, including but not limited to lighting conditions, camera positioning, etc. And there are 3 main issues that human detection will encounter:

a. One challenge in human detection is viewpoint variation. This refers to the difficulty in accurately identifying humans from different angles or perspectives, such as when they are walking away from the camera. As the object’s viewpoints vary, the object’s shape changes.

b. Another issue is pose variation, which occurs when individuals are in different positions or postures, such as sitting, dancing, riding a bike, doing yoga, etc. So if the camera is only trained to identify standing or walking individuals, then it will fail to recognize people doing other activities, affecting the accuracy of human detection.

c. Finally, occlusion is a problem when people are partially or completely hidden from view, such as when they are behind an object or another person resulting in incomplete figures, so detecting a person in a crowded place is very challenging.

There, to ensure the accuracy of human detection, it’s important to choose a security camera that uses advanced technologies, such as AI and machine learning algorithms.

Recommended Models:

5MP PoE Bullet IR IP Camera with Motorized Lens

This is a high-quality, professional-grade surveillance camera that delivers exceptional image clarity and superior performance. It captures crystal-clear videos in 5MP, ensuring that every detail is visible, allowing you to closely monitor any activity with ease. It’s equipped with a 2.8-12nm motorized zoom lens which allows you to adjust the focal length remotely with no manual adjustment. Moreover, thanks to the human detection function, it can accurately identify and track human subjects, minimizing false alarms caused by other moving objects so as to improve the overall efficiency of your surveillance system. This 5MP PoE bullet IR IP camera provides clear visibility of up to 30 meters even in complete darkness.

8MP IR IP Camera with Varifocal Lens

8MP IR IP Camera with varifocal lens offers a wide array of advanced surveillance features for high-quality video monitoring in even the hardest weather conditions. With a manually adjustable varifocal lens ranging from 6-22nm, this dome camera allows you to easily customize your field of view, providing optimal coverage for your surveillance needs. In addition, equipped with advanced video analytics functions, it’s capable of accurately identifying and alerting you to the presence of individuals in the monitored area. With an IP66 waterproof rating, this dome camera can withstand rain, dust, and extreme temperatures, ensuring durability and longevity for outdoor applications.

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