Application of the EfficientDet Algorithm in Traffic Flow Statistics

Lin, Kaihao; Chen, Junyan; Chen, Aoge; Huang, Hu

doi:10.1109/cis52066.2020.00038

Cited by 1 publication

(1 citation statement)

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“…These previous works show that it is possible to obtain relevant results combining object detection and thermal imaging. EfficientDet has been previously used in other works such as Liangben et al [11] and Kaihao et al [12], where this model is proven to be capable to provide excellent results especially with regard to identifying cars and people. Even though Tan et al [5] indicates EfficientDet to be better performing than YOLOv3, the latter is more popular in detection with thermal imaging.…”

Section: Literature Reviewmentioning

confidence: 99%

Study on the Application of EfficientDet to Real-Time Classification of Infrared Images from Video Surveillance

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Fernandes

et al. 2022

2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)

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The monitoring of certain areas can be a tedious and non-interactive task that usually leads to some missed occurrences. With the development of object-detection models, this problem can be mitigated and reduced. In this paper, a rare application of EfficientDet model to the analysis of footage from an infrared camera in real-time is studied. The model will be used to detect deers, people and cars in images captured at the surroundings of a classified facility from where we do not yet have images available. Consequently, we show the process of creating the model and discuss the problems raised by the real-time performance limitations as well as by the available data limitations. The results obtained suggest that this kind of implementation has the potential to improve existing surveillance systems.

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Section: Literature Reviewmentioning

confidence: 99%