Chengjuan Ren1, Guangnan Zhang2,*, Dongwon Jeong3, Lele Hao4
Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.39, No.4, pp. 1-12, 2023, DOI:10.23967/j.rimni.2023.11.001
Abstract In multi-object tracking of Intelligent Transportation System, there are objects of different sizes in
images or videos, especially pedestrian and traffic lights with low resolution in the image. Meantime,
objects are subject to occlusion or loss in object tracking. All of the above-mentioned situations may lead to
unsatisfactory multi-object tracking results. Attracted by the effect of deep convolution neural networks, the
paper proposes a multi-object tracking network, CNN-Based Multi-Object Tracking Networks with
Position Correction and IMM (CNN_PC_IMM) to solve those problems. Our proposed method consists of
object detection module and object tracking module. Compared to… More >
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