@article{MAKHILLIJSC202116621514,
    title = {Study of Haar AdaBoost (VJ) and HOG AdaBoost (PoseInv) Detectors for People Detection},
    journal = {International Journal of Soft Computing},
    volume = {16},
    number = {6},
    pages = {134-147},
    year = {2021},
    issn = {1816-9503},
    doi = {ijscomp.2021.134.147},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2021.134.147},
    author = {Nagi,Aicha,Mohamedade and},
    keywords = {learned-based methods,Pedestrian detection,behavior analysis},
    abstract = {The detection of objects in general and
pedestrians in particular in images and videos is a very
popular research topic within the computer vision
community, it is an issue that is currently at the heart of
much research. In this study, we will present a
comparative study of the performance of the two detectors
Haar AdaBoost and HOG AdaBoost in detecting people
in the INRIA image database of people. An evaluation of
the experiments will be presented after making certain
modifications to the detection parameters.}
    }