Results 161 to 170 of about 1,466 (208)
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International Conference Computing Methodologies and Communication
Locating missing persons in crowded public spaces is a significant challenge for law enforcement agencies and families. Traditional search methods, relying on manual CCTV footage inspection, are time-consuming and inefficient.
Bharani M +4 more
semanticscholar +1 more source
Locating missing persons in crowded public spaces is a significant challenge for law enforcement agencies and families. Traditional search methods, relying on manual CCTV footage inspection, are time-consuming and inefficient.
Bharani M +4 more
semanticscholar +1 more source
An improved MTCNN face detection algorithm
Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science, 2022Yanjun Wang 0008, Xiaohui Cheng
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SD-MTCNN: Self-Distilled Multi-Task CNN [PDF]
Proceedings of the British Machine Vision Conference 2020, 2020 Ankit Jha +3 more
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Deepfake Detection Using Vision Transformer and MTCNN-Based Facial Frame Extraction
2025 International Conference on Digital Innovations for Sustainable Solutions (ICDISS)Deepfake technology is evolving rapidly and in today's digital age, it poses a risk of being misused in domains such as entertainment, education, and politics.
Arunabha Mukhopadhyay +2 more
semanticscholar +1 more source
2025 IEEE 2nd International Conference for Women in Computing (InCoWoCo)
Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that affects social interaction and communication abilities, with early diagnosis being crucial for effective intervention.
Kambham Sravani, K. P.
semanticscholar +1 more source
Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that affects social interaction and communication abilities, with early diagnosis being crucial for effective intervention.
Kambham Sravani, K. P.
semanticscholar +1 more source
International Conference on Smart City and Informatization
This study proposes a novel automated attendance and security monitoring system to overcome the limitations of conventional approaches is proposed. Three experiments were carried out using 150 facial images of three subjects and compared with state-of ...
Oras Baker +4 more
semanticscholar +1 more source
This study proposes a novel automated attendance and security monitoring system to overcome the limitations of conventional approaches is proposed. Three experiments were carried out using 150 facial images of three subjects and compared with state-of ...
Oras Baker +4 more
semanticscholar +1 more source
Pedestrian Attribute Recognition Based on Mtcnn with Online Batch Weighted Loss
2019 IEEE International Conference on Image Processing (ICIP), 2019Due to the large number and huge diversity of attributes, pedestrian attribute recognition in video surveillance scenarios is a challenging task in the field of computer vision. Different from most previous works which only focus on extremely imbalanced attribute distribution problem, a new grouping way of attributes based multi-task convolutional ...
Xingting He +4 more
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2025 11th International Conference on Wireless and Telematics (ICWT)
Facial recognition is one of the interesting biometric technologies and has developed rapidly, especially in security applications. This research aims to design and build a face recognition-based home security system using the ESP32-CAM module as well as
Rajasabian Ardhi Awangga +5 more
semanticscholar +1 more source
Facial recognition is one of the interesting biometric technologies and has developed rapidly, especially in security applications. This research aims to design and build a face recognition-based home security system using the ESP32-CAM module as well as
Rajasabian Ardhi Awangga +5 more
semanticscholar +1 more source
Multiple Face Detection and Recognition using MTCNN and VGG19 along with Liveliness Detection
2025 IEEE International Conference on Contemporary Computing and Communications (InC4)Face recognition systems are being more widely employed for secure and efficient attendance management. The paper proposes a multiple-face recognition and liveliness detection system using MTCNN for face localization and VGG19 for recognition.
B. Sri +4 more
semanticscholar +1 more source
arXiv.org
Face detection is a crucial component in many AI-driven applications such as surveillance, biometric authentication, and human-computer interaction. However, real-world conditions like low-resolution imagery present significant challenges that degrade ...
Ahmet Can Ömercikoglu +2 more
semanticscholar +1 more source
Face detection is a crucial component in many AI-driven applications such as surveillance, biometric authentication, and human-computer interaction. However, real-world conditions like low-resolution imagery present significant challenges that degrade ...
Ahmet Can Ömercikoglu +2 more
semanticscholar +1 more source