Optimizing feature selection strategy for adaptive object identification in noisy environment

Pandya, Sagar; Lu, Tingting; Chao, Tien‐Hsin

doi:10.1117/12.2005248

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors of [14] proposed an improved method for salient feature point detection and ROI determination. The feature map is filtered through the mask generated by the local feature.…”

Section: Introductionmentioning

confidence: 99%

Automatic ROI Setting Method Based on LSC for a Traffic Congestion Area

Jin

Wang

et al. 2022

Sustainability

View full text Add to dashboard Cite

Congested regions in videos put forward higher requirements for target detection algorithms, and the key detection of congested regions provides optimization directions for improving the accuracy of detection algorithms. In order to make the target detection algorithm pay more attention to the congested area, an automatic selection method of a traffic congestion area based on surveillance videos is proposed. Firstly, the image is segmented with superpixels, and a superpixel boundary map is extracted. Then, the mean filtering method is used to process the superpixel boundary map, and a fixed threshold is used to filter pixels with high texture complexity. Finally, a maximin method is used to extract the traffic congestion area. Monitoring data of night and rainy days were collected to expand the UA-DETRAC data set, and experiments were carried out on the extended data set. The results show that the proposed method can realize automatic setting of the congestion area under various weather conditions, such as full light, night and rainy days.

show abstract

“…The authors of [14] proposed an improved method for salient feature point detection and ROI determination. The feature map is filtered through the mask generated by the local feature.…”

Section: Introductionmentioning

confidence: 99%

Automatic ROI Setting Method Based on LSC for a Traffic Congestion Area

Jin

Wang

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

Optimizing feature selection strategy for adaptive object identification in noisy environment

Cited by 1 publication

References 0 publications

Automatic ROI Setting Method Based on LSC for a Traffic Congestion Area

Automatic ROI Setting Method Based on LSC for a Traffic Congestion Area

Contact Info

Product

Resources

About