A survey of thresholding techniques
Computer Vision, Graphics, and Image Processing
A fast level set method for propagating interfaces
Journal of Computational Physics
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Non-parametric Model for Background Subtraction
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Nautical Scene Segmentation Using Variable Size Image Windows and Feature Space Reclustering
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Foreground object detection from videos containing complex background
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Effective Gaussian Mixture Learning for Video Background Subtraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient adaptive density estimation per image pixel for the task of background subtraction
Pattern Recognition Letters
Initialization Techniques for Segmentation with the Chan-Vese Model
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Dynamic Control of Adaptive Mixture-of-Gaussians Background Model
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Fast mean filtering technique (FMFT)
Pattern Recognition
A new motion detection algorithm based on Σ-Δ background estimation
Pattern Recognition Letters
Stability and convergence of the level set method in computer vision
Pattern Recognition Letters
A hybrid color-based foreground object detection method for automated marine surveillance
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Smooth foreground-background segmentation for video processing
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
An improved real-time contour tracking algorithm using fast level set method
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
IEEE Transactions on Image Processing
Level set-based bimodal segmentation with stationary global minimum
IEEE Transactions on Image Processing
A Real-Time Algorithm for the Approximation of Level-Set-Based Curve Evolution
IEEE Transactions on Image Processing
Development and applications of a simulation model for vessels in the Singapore Straits
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
Surveillance in a maritime environment is indispensable in the fight against a wide range of criminal activities, including pirate attacks, unlicensed fishing trailers and human trafficking. Computer vision systems can be a useful aid in the law enforcement process, by for example tracking and identifying moving vessels on the ocean. However, the maritime domain poses many challenges for the design of an effective maritime surveillance system. One such challenge is the tracking of moving vessels in the presence of a moving dynamic background (the ocean). We present techniques that address this particular problem. We use a background subtraction method and employ a real-time approximation of level-set-based curve evolution to demarcate the outline of moving vessels in the ocean. We report promising results on both small and large vessels, based on two field trials.