Search Results for author: Palaiahnakote Shivakumara

Found 5 papers, 0 papers with code

Vehicle Detection Performance in Nordic Region

no code implementations22 Mar 2024 Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Bjorn Backe, Palaiahnakote Shivakumara, Olle Hagner, Yan Chai Hum

This paper addresses the critical challenge of vehicle detection in the harsh winter conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low lighting.

Data Augmentation Transfer Learning

Robust and Fast Vehicle Detection using Augmented Confidence Map

no code implementations27 Apr 2023 Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled, Rajkumar Saini, Muhammad Zeshan Afzal, Yan Chai Hum, Marcus Liwicki

Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, etc.

Fast Vehicle Detection

SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition

no code implementations21 Jul 2022 Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu

For target images (scene text images), the Semantic Generator Module generates simple semantic features that share the same feature distribution with support images (clear text images).

Image-to-Image Translation Scene Text Recognition

A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video

no code implementations26 May 2020 Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal, Tong Lu, Michael Blumenstein

The proposed method fuses gradient magnitude and direction coherence of text pixels in a new way for detecting candidate regions.

Clustering Text Detection

A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification

no code implementations19 Jun 2018 Sauradip Nag, Palaiahnakote Shivakumara, Wu Yirui, Umapada Pal, Tong Lu

For each line segment, the proposed method estimates angle and length, which gives a point in polar domain.

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