MULTI-VIEW HUMAN ACTIVITY ANALYSIS FRAMEWORK: FOR SMART VIDEO SURVEILLANCE - Softcover

Sharma, Vikrant; Kaur, Ketanpreet; Singh, Gagandeep

Softcover

ISBN 10: 620989481X ISBN 13: 9786209894817

Verlag: LAP LAMBERT Academic Publishing, 2026

Inhaltsangabe

This book focuses on the design and development of an advanced Smart Video Surveillance System (SVSS) to address growing global security concerns. With the rapid increase in thefts and public safety issues, traditional surveillance systems are no longer sufficient, as they mainly perform basic tasks like face detection, object detection, and counting. The book highlights the need for deeper analysis of human activities in video data to detect suspicious behavior more effectively. The core contribution of the work is the proposal of a Human Activity Analysis Framework integrated with Fog Computing. This framework aims to process video data closer to the source (at the fog layer), enabling faster and more efficient real-time analysis. To achieve accurate human activity recognition, the authors introduce a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. This model captures both spatial (image-based) and temporal (sequence-based) features from video frames, significantly improving action recognition performance.

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Über die Autorin bzw. den Autor

Dr. Vikran Sharma earned his Ph.D. in Electronics and Communication on the topic performance of multichannel, multigigabit per second DWDM ring from I.K. Gujral Punjab Technical University, Punjab, India. He is Professor and Dean in School of Engineering and Technology, GNA University, Phagwara.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2026
• Sprache: Englisch
• ISBN 10: 620989481X
• ISBN 13: 9786209894817
• Einband: Taschenbuch
• Anzahl der Seiten: 208
• Kontakt zum Hersteller: SIA OmniScriptum Publishing; customerservice@vdm-vsg.de; ; Brivibas gatve 197; Riga; 1039; Lettland