• A Low Cost and Computationally Efficient Approach for Occlusion Handling in Video Surveillance Systems 

      Joshi, Rakesh Chandra; Singh, Adithya Gaurav; Joshi, Mayank; Mathur, Sanjay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2019)
      In the development of intelligent video surveillance systems for tracking a vehicle, occlusions are one of the major challenges. It becomes difficult to retain features during occlusion especially in case of complete ...
    • A Novel Technique to Detect and Track Multiple Objects in Dynamic Video Surveillance Systems 

      Adimoolam, M.; Mohan, Senthilkumar; A., John; Srivastava, Gautam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Video surveillance is one of the important state of the art systems to be utilized in order to monitor different areas of modern society surveillance like the general public surveillance system, city traffic monitoring ...
    • A Recent Trend in Individual Counting Approach Using Deep Network 

      Ghazvini, Anahita; Abdullah, Siti Norul Huda Sheikh; Ayob, Masri (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      In video surveillance scheme, counting individuals is regarded as a crucial task. Of all the individual counting techniques in existence, the regression technique can offer enhanced performance under overcrowded area. ...
    • Analysis of Gait Pattern to Recognize the Human Activities 

      Prakash Gupta, Jay; Dixit, Pushkar; Singh, Nishant; Bhaskar Aemwal, Vijay (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2014)
      Human activity recognition based on the computer vision is the process of labelling image sequences with action labels. Accurate systems for this problem are applied in areas such as visual surveillance, human computer ...
    • ConvGRU-CNN: Spatiotemporal Deep Learning for Real-World Anomaly Detection in Video Surveillance System 

      Qasim Gandapur, Maryam; Verdú, Elena (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      Video surveillance for real-world anomaly detection and prevention using deep learning is an important and difficult research area. It is imperative to detect and prevent anomalies to develop a nonviolent society. Realworld ...
    • Towards a better learning models through OCWs and MOOCs 

      Cordero, Alicia; Jordán, Cristina; Sanabria-Codesal, E.; Torregrosa, Juan Ramón (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2015)
      echnological advances of XXth century have induced a profound change in society and, therefore, in the high education. Internet supposed a qualitative difference, as information and digital images flooded into homes around ...