caa a22 4500 605447187 CHVBK 20210128100131.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2128-6 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2128-6 A motion-based approach to detect persons in low-resolution video [Elektronische Daten] [Snehasis Mukherjee, Dipti Mukherjee] The paper proposes a motion-based technique to detect persons in a low-resolution video, where the persons look like tiny blobs. The tiny blob-like appearance of the persons are due to camera position which is at a distance from the person(s). The proposed technique uses integral matrix based different spatial and temporal features. Gradient weighted optical flow (GWOF) is calculated for each frame of the video clip to minimize background noise. Spatial filters are used to extract motion features from the GWOF based integral matrices. The combination of image gradient and GWOF features extracts static and moving persons present in the video. The AdaBoost learning technique is used for training. The training is performed using features derived from the positive samples of bounding boxes in a video frame containing a person and negative samples with bounding boxes without a person. The proposed technique is applied on benchmark Tower dataset, UT-Interaction dataset and PETS 2007 dataset. We have obtained approximately 2 to 10 % improvement in the performance compared to the states-of-the-art. Springer Science+Business Media New York, 2014 Person detection nationallicence Optical flow nationallicence Integral image nationallicence Image gradient nationallicence AdaBoost nationallicence Mukherjee Snehasis Information Access Division, National Institute of Standards and Technology (NIST), 100 Bureau Drive, 20899-8940, Gaithersburg, MD, USA aut Mukherjee Dipti Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9475-9490 1380-7501 74:21<9475 2015 74 11042 https://doi.org/10.1007/s11042-014-2128-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2128-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mukherjee Snehasis Information Access Division, National Institute of Standards and Technology (NIST), 100 Bureau Drive, 20899-8940, Gaithersburg, MD, USA aut NATIONALLICENCE 700 1- Mukherjee Dipti Electronics and Communication Sciences Unit, Indian Statistical Institute, 700108, Kolkata, India aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9475-9490 1380-7501 74:21<9475 2015 74 11042