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Blob detection

Known as: Laplacian of Gaussian, Determinant of the Hessian, Blob 
In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color… 
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Related topics

Related topics

33 relations
3D projection3D single-object recognitionAffine shape adaptationAugmented reality

Broader (1)

Feature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
A Markov Random Walk Model for Loitering People Detection
Today video surveillance systems are widely used in public spaces, such as train stations or airports, to enhance security. In… 
Highly Cited
2008
Highly Cited
2008
Edge Detection in Gray Level Images based on the Shannon Entropy
Most of the classical mathematical methods for edge detection based on the derivative of the pixels of the original image are… 
2007
2007
Blob Detection With Wavelet Maxima Lines
In this letter, we propose a novel approach to blob detection based on wavelet transform modulus maxima. We use maxima lines in… 
Highly Cited
2006
Highly Cited
2006
Automatic Counting of Interacting People by using a Single Uncalibrated Camera
Automatic counting of people, entering or exiting a region of interest, is very important for both business and security… 
Highly Cited
2005
Highly Cited
2005
Object Tracking using Color Correlogram
  • Qi ZhaoHai Tao
  • IEEE International Workshop on Visual…
  • 2005
  • Corpus ID: 18097946
Color histogram based representations have been widely used for blob tracking. In this paper, a new color histogram based… 
Highly Cited
2005
Highly Cited
2005
A New Fuzzy Approach for Edge Detection
An edge detection is one of the most important tasks in image processing. Image segmentation, registration and identification are… 
2005
2005
Proposal of Novel Histogram Features for Face Detection
This paper presents novel features for face detection in the paradigm of AdaBoost algorithm. Features are multi-dimensional… 
1998
1998
Genetic snakes for medical image segmentation
In this paper an approach is described for segmenting medical images. We use active contour model, also known as snakes, and we… 
Highly Cited
1997
Highly Cited
1997
Perceptive Spaces for Performance and Entertainment Untethered Interaction Using Computer Vision and Audition
Bulky head-mounted displays, data gloves, and severely limited movement have become synonymous with virtual environments. This is… 
Highly Cited
1989
Highly Cited
1989
Detection, Localization, and Estimation of Edges
A method to detect, locate, and estimate edges in a one-dimensional signal is presented. It is inherently more accurate than all… 
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