Titlebook: Computer Vision and Image Processing; 8th International Co Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar Conference proceedings 2024 The Edi

放氣

NOTCH

YOLORe-IDNet: An Efficient Multi-camera System for Person-Tracking, It is computationally efficient and achieves a high F1-Score of 79% and an IOU of 59% comparable to existing state-of-the-art algorithms, as demonstrated in our evaluation on a publicly available OTB-100 dataset. The proposed system offers a robust and efficient solution for the real-time tracking

MINT

LASH

磨碎

Trigger-Point

cliche

教義

Algorithms for Functional Programmingnts and one has to leverage the resources wisely. In this paper, we present a novel approach which demonstrates a different method to make use of audio features along with visual cues in video summarization. The proposed approach uses different models for inferencing from audio and visual features a

ELATE

invulnerable

Marina Thottan,Guanglei Liu,Chuanyi JiCovid-Lite model respectively, after employing the proposed augmented dataset. Furthermore, we have implemented a popular CNN model i.e., VGG-16 and by the proposed data-augmentation we have achieved the best results of 95% accuracy, 96% F1 score, 96% precision and 96% recall.