In large public places, such as shopping centers, airports, and train stations, criminal incidents often occur unnoticed by the public. The victims and their families face the consequences of these actions, making it even more important that surveillance cameras are installed to monitor these areas.
Simply using existing surveillance cameras, video management systems, or video surveillance software may achieve partial prevention or monitoring objectives, but they have many drawbacks. The large number of surveillance cameras means that security personnel must retrieve and carefully review the footage from each camera to identify suspicious individuals or missing persons manually. This process incurs a significant amount of labor cost and time, and it cannot provide real-time, effective crime alerts or missing persons assistance.
Now, a new generation of AI-powered technology can integrate with the existing video surveillance system. It can automatically recognize human body shapes and clothing, and it even tracks specific individuals based on characteristics such as age, gender, clothing, and accessories. This enhances the effectiveness of the existing system, making the entire search and analysis process more precise and efficient.
Video surveillance analytics uses computer vision technology to capture and analyze images from surveillance cameras. It detects, recognizes, and analyzes people, events, and behaviors, and many of these systems can store video for long periods for later queries and analysis. Video surveillance analytics has been adopted across many industries, including law enforcement, transportation, retail, healthcare, hospitality, and manufacturing. They provide valuable analysis information to enhance security by detecting threats, preventing crime, and improving situational awareness.
When AI technology is incorporated into video surveillance analytics, it can automatically analyze surveillance video without the need for human monitoring and alert guards or security personnel to abnormal situations through alarm notifications. Incorporating AI technology can lead to higher accuracy, faster response times, saving human resources and costs, the ability to handle more complex environmental conditions, and increased sense of security in daily life.
People Tracker technology is a software for tracking and analyzing individuals in surveillance footage. It typically uses AI video analysis algorithms to identify human body contours and features. By tracking and analyzing movement patterns, it can accurately track information such as the selected individual’s location, movement speed, and direction to help prevent crime and locate missing persons.
People Tracker can be used in public safety and smart cities, too. For example, in places with high people traffic, such as office buildings, shopping centers, public spaces, airports, subways, and bus stations, People Tracker can enhance public safety by providing a resource that reduces the time it takes to find missing persons or persons of interest.
Adding People Tracker to the video surveillance system can further enhance the overall system performance. Specifically, it improves the system’s recognition rate and increases its accuracy.
People Tracker can identify specific characteristics of a person of interest, including their age and gender, as well as notable clothing items and other details about their appearance. For example, if a young child gets lost in a crowd, the system can search for a person matching that description and help security find them and reunite them with their guardian faster. Likewise, if a shoplifter takes advantage of a busy time, the software can identify them based on footage from their original location and recognize them when they appear in other areas. People Tracker also reduces false alarms with its precise AI recognition technology, so security personnel can act sooner.
Person attribute recognition technology helps security personnel track a person in surveillance footage, even when they don’t have a pre-existing image of them. If they know certain attribute characteristics, like their age, gender, clothing, or accessories, People Tracker can locate them. The technology can identify top and bottom clothing types, clothing colors, and accessories such as a bag or hat.
Person attribute recognition technology uses machine deep learning to extract features from the image. Then, it identifies specific attributes related to individuals and matches them to those conditions, which helps to identify persons of interests such as shoplifting suspects, trespassers, or lost children.
Person re-identification uses full-body images to track and find the same person across different cameras. It matches individuals on each camera based on their appearance, as well as specific features such as their clothing, height, or gait. It also accounts for camera-related variations, such as scale, occlusion, and viewpoint.
To overcome these challenges and variations, person re-identification systems use advanced AI algorithms to understand how the same person may appear across cameras. It also uses complex technologies such as feature extraction, metric learning, and deep neural networks to identify and compare a person’s appearance on each camera.
Facial recognition identifies people by their facial characteristics captured on camera. The integrated FaceMe® facial recognition engine can accurately track and target persons of interest or missing persons based on their facial features. It also has an optional feature that allows for use of an image of a person, as opposed to video-only, to improve its search results.
Facial recognition can also be used to enhance people re-identification, security, and other areas of surveillance. For example, when suspicious behavior occurs, facial recognition technology can help track potential suspects and lead to a more accurate, efficient investigation.
A complete People Tracker solution integrates person attribute recognition, person re-identification, and facial recognition. By integrating each of these technologies, the solution can identify and track people more accurately, allowing it to locate lost people and persons of interest more quickly. With facial recognition added, the system can track using more detailed information, which creates more certainty in investigations.
In addition to these three AI technologies, a complete People Tracker solution should also have the following two features:
CyberLink People Tracker is a new generation smart search solution that integrates the most vital AI technologies to identify lost people and persons of interest. It can analyze surveillance video in real-time and quickly search for entry and exit tracks of a person of interest in recordings. Its high accuracy and execution efficiency integrate with major mainstream VMS’ and reduce the time required for investigations.
People Tracker is the only solution that perfectly integrates facial recognition, person re-identification, and person attribute recognition. This creates highly effective search and tracking capabilities, which allows for tracking of individuals at any pose or angle.
CyberLink’s FaceMe® facial recognition technology is a leading brand, using deep learning neural network algorithms to achieve up to 99.83% accuracy in recognition (TAR, True Acceptance Rate). Its outstanding capabilities have placed it among the most accurate and fastest recognition engines in the NIST FRTE facial recognition tests, top ranked among facial recognition technology global vendors.
People Tracker has ultra-high edge computing performance, optimized for AI edge computing accelerators. With a low-end TX A2000 GPU, it can analyze 21 surveillance cameras simultaneously.
To achieve automatic analysis and recognition of a large amount of surveillance video, CyberLink People Tracker integrates with mainstream video management systems. This integration enables users to obtain real-time information about the monitored area. Through this integration, users can easily upgrade their existing surveillance and security systems for more convenient functionality using AI, thereby enhancing user and environmental safety.
People Tracker software can play an important role in ensuring public safety in busy areas, such as airports, train stations, shopping centers, and tourist attractions. For example, it can help security personnel track passengers suspected of carrying dangerous items. With its tracking capabilities, security personnel can immediately conduct a more detailed security check and take precautionary measures if necessary. In shopping centers and tourist attractions, People Tracker can track people who linger in dark corners, follow other patrons, or are suspected of stealing goods.
The People Tracker solution can also be combined with other security systems, such as access control and alarm systems. By integrating with these systems, surveillance management and personnel achieve a more comprehensive view of the public and can use intelligent technology to promote everyone’s safety.
People Tracker software can be applied to security systems in office and residential buildings to track suspicious movements in the event of a break-in, theft, or other crime. Using AI technologies such as facial recognition, person re-identification, and person attribute recognition, it can effectively track the suspect’s movements inside and outside of the building. Once the system identifies the suspect’s movements, it can notify security personnel or send an alert for greater effectiveness.
People Tracker can also integrate with smart access control systems. This allows for more attentive management regarding the entry and exit of personnel in offices and residential areas to further improve security.
When children or other individuals get lost at indoor entertainment venues or shopping centers, People Tracker can quickly extract their features from surveillance video. By using facial recognition, person re-identification, and person attribute recognition, the system can identify the lost person’s age, gender, clothing color, accessories, and other distinguishing features provided by their family members or guardians. People Tracker can also compare images from different cameras to search for and quickly locate the lost person’s position, allowing security personnel to reunite them with their loved ones faster.
People Tracker software can also be applied in healthcare institutions, nursing homes, and other care facilities to track patients who require special attention, such as those with dementia or mental illness. With this solution, caregivers can quickly find a patient who has wandered off or fallen, so they can provide timely assistance and ensure patient safety.
CyberLink’s AI-based People Tracker solution has the potential to revolutionize existing security and surveillance industries. It can track people using facial features or other physical details, clothing, body shape, and gait, making it that much easier to find people in video investigations. This technology can aid in finding criminals and suspects in public areas, as well as a lost child or a grandparent in a busy shopping center. As People Tracker is integrated with VMS’, it allows security management to create a more comprehensive surveillance system that supports fast responses and a safer environment.
Contact
