activity
20162021
most citedChallenges in video based object detection in maritime scenario using computer vision

38 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2021

VDPC: Variational Density Peak Clustering Algorithm

Yizhang Wang, Di Wang, You Zhou +2

The widely applied density peak clustering (DPC) algorithm makes an intuitive cluster formation assumption that cluster centers are often surrounded by data points with lower local…

cs.CV2018★ 1 cited

Are object detection assessment criteria ready for maritime computer vision?

Dilip K. Prasad, Huixu Dong, Deepu Rajan +1

Maritime vessels equipped with visible and infrared cameras can complement other conventional sensors for object detection. However, application of computer vision techniques in ma…

cs.CV2017★ 3 cited

Maritime situational awareness using adaptive multi-sensor management under hazy conditions

D. K. Prasad, C. K. Prasath, D. Rajan +3

This paper presents a multi-sensor architecture with an adaptive multi-sensor management system suitable for control and navigation of autonomous maritime vessels in hazy and poor-…

cs.CV2017★ 1 cited

MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images

D. K. Prasad, D. Rajan, C. K. Prasath +3

This paper proposes a new method for horizon detection called the multi-scale cross modal linear feature. This method integrates three different concepts related to the presence of…

cs.CV2016★ 38 cited

Challenges in video based object detection in maritime scenario using computer vision

D. K. Prasad, C. K. Prasath, D. Rajan +3

This paper discusses the technical challenges in maritime image processing and machine vision problems for video streams generated by cameras. Even well documented problems of hori…