Augmenting Face Detection in Extremely Low-Light CCTV Footage Using the EDCE Enhancement Model
S. Sony Priya,
R. I. Minu
Abstract:Face detection constitutes a pivotal task in computer vision, with its utility extending across security and surveillance, biometrics, human-computer interaction, and entertainment. This technology facilitates the automated recognition and location of human faces within images or videos, a feature instrumental for identification, authentication, and tracking. However, the efficacy of face detection algorithms is compromised under low-light conditions prevalent in CCTV videos, due to variations in illumination … Show more
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