Comparative study of pedestrian detection techniques for driver assistance system

Akshayaa, S; Nithin, S.

doi:10.1109/icesc51422.2021.9532716

Cited by 5 publications

(4 citation statements)

References 22 publications

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“…YOLOv3 employs bounding boxes with delicate borders that don't affect neighbouring pixels. On the INRIA person dataset, which contains pedestrians in various poses, shapes, and lighting situations, the evaluation metrics of YOLO v3 and HOG SVM [15] models are examined. In an input image, bounding boxes are created to show where the pedestrian is located.…”

Section: Deep Learning Approaches To Pedestrian Recognitionmentioning

confidence: 99%

An Improved Parallel Feature Fusion - CBAM method for occluded pedestrian identification

Shaamili

Bevi

2023

Preprint

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Occluded pedestrian identification is a critical and challenging issue in the field of pedestrian detection. Currently, using pedestrian components or human approaches is the most popular way to get over the problem of occlusion in pedestrian recognition. Only a small portion of the body may be used for detection when there is severe occlusion from crowds, or human or pedestrian components. The viewable portions of the occluded pedestrian have a small scale, but the scales of the unobscured and occluded pedestrians in the same image are different. Improved Parallel Feature Fusion with CBAM (IPFF-CBAM) on Feature Pyramid Network is put forward that can integrate new feature data of various sizes which are applied to four benchmark datasets KITTI, WiderPerson, CrowdHuman, and INRIA individuals of occluded pedestrians, in order to enhance key attributes. According to the findings the proposed method performs satisfactorily on deep learning approaches i.e., Faster RCNN, Cascade RCNN and Mask RCNN to obtain results of parameters like Average Precision (AP) and Miss rate index (MR) in obstructed pedestrian detection tasks.

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Section: Deep Learning Approaches To Pedestrian Recognitionmentioning

confidence: 99%

An Improved Parallel Feature Fusion - CBAM method for occluded pedestrian identification

Shaamili

Bevi

2023

Preprint

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“…In this way, the network pays different attention to each pixel in the region. The processing of the domain attention mechanism is expressed by Equation (3).…”

Section: Domain Attention Modulementioning

confidence: 99%

“…Owing to the presence of turbidity media in the atmosphere (such as haze, smoke, dust, and other particles), which can absorb and scatter light, quality reduction phenomena such as spectral distortion and spatial blurriness often occur in images, which introduces difficulties to processing tasks such as target detection [1], image segmentation [2] and advanced driver assistance system [3]. In addition, it is not feasible to capture both haze-free and hazy images in the same scene simultaneously for image dehazing algorithms.…”

Section: Introductionmentioning

confidence: 99%

Single image dehazing using generative adversarial networks based on an attention mechanism

Jia

Yan

et al. 2022

IET Image Processing

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Most existing image dehazing methods rely on the solution of the atmospheric scattering model or supervised learning based on paired images. However, owing to incomplete prior knowledge and the lack of paired hazy and haze-free images of the same scenes as training samples, their performances for single image dehazing are unsatisfactory. Here, the authors present an unpaired image learning method based on the attention mechanism for single image dehazing problems. The method uses the constraint transfer learning ability and circulatory structure of CycleGAN to carry out an unsupervised image dehazing task for unpaired data. Considering the complexity of the haze distribution in actual imaging and human visual characteristics, the improved channel attention and domain attention mechanisms are integrated into the network to process different features and different regions non-uniformly. The experimental results show that the proposed method achieves good results on both synthetic datasets and real hazy images.

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“…Several experiments were done by various researchers using different plants and their parts. Phytochemical constituents from plants are extracted using polar and nonpolar solvents [ 6 ; 7 ]. Some studies revealed that the medicinal property of plant extracts is mainly dependent on the dosage of extract and solvent used for extraction [ 8 ; 9 ].…”

Section: Introductionmentioning

confidence: 99%

Anti-inflammatory activity of lauric acid, thiocolchicoside and thiocolchicoside-lauric acid formulation

Mustafa

2023

Bioinformation

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It is of interest to develop potent and safer anti-inflammatory drugs from plants, as medicinal plants and herbs attained great attention in the medical world due to their multifunctional activities. This article studied the anti-inflammatory effects of lauric acid (LA), thiocolchicoside (TC) and thiocolchicoside–lauric acid (TC-LA) formulation. The anti-inflammatory effects of these compounds were determined by following the methods of inhibition of protein denaturation and proteinase inhibition activity. This was assessed at different concentrations to determine the 50% inhibition concentration (IC50) of the compounds. The result indicated that the activity of LA, TC, TC-LA formulation, and reference drug increased with the increase in the concentration from 10-50 μg/ml, thus proving the activity of LA, TC, and TC-LA formulation against inflammation was in a dose-dependent manner. The percentage of inhibition of protein denaturation was 59.56%, 66.94%, 86.62%, and 60.34% for LA, TC, the combination of TC-LA and standard drug, and the IC50 values were found to be 44.78 μg/mL, 37.65 μg/mL, 27.15 μg/mL and 43.42 μg/mL, respectively. The percentage of proteinase inhibition activity of LA, TC, and a combination of TC-LA and the standard drug was 66.65%, 77.49%, 94.07%, and 69.83%, and IC50 of LA, TC, a combination of TC-LA and standard drug were35.5 μg/mL, 32.12 μg/mL, 24.35 μg/mL and 37.80 μg/mL, respectively. We found out that lauric acid, thiocolchicoside, and thiocolchicoside-lauric acid formulation exhibited significant anti-inflammatory activity.

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Comparative study of pedestrian detection techniques for driver assistance system

Cited by 5 publications

References 22 publications

An Improved Parallel Feature Fusion - CBAM method for occluded pedestrian identification

An Improved Parallel Feature Fusion - CBAM method for occluded pedestrian identification

Single image dehazing using generative adversarial networks based on an attention mechanism

Anti-inflammatory activity of lauric acid, thiocolchicoside and thiocolchicoside-lauric acid formulation

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