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The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection.The technique counts occurrences of gradient orientation in localized portions of an image.
The Viola–Jones object detection framework is a machine learning object detection framework proposed in 2001 by Paul Viola and Michael Jones. [1] [2] It was motivated primarily by the problem of face detection, although it can be adapted to the detection of other object classes. In short, it consists of a sequence of classifiers.
BGSLibrary includes the original LBP implementation for motion detection [12] as well as a new LBP operator variant combined with Markov Random Fields [13] with improved recognition rates and robustness. dlib, an open source C++ library: implementation. scikit-image, an open source Python library. Provides a c-based python implementation for LBP
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
Note, however, that detection of MSERs in a scale pyramid improves repeatability, and number of correspondences across scale changes. [ 4 ] The set of all extremal regions can be enumerated in worst-case O ( n ) {\displaystyle O(n)} , where n {\displaystyle n} is the number of pixels in the image.
The Hough transform (/ h ʌ f /) is a feature extraction technique used in image analysis, computer vision, pattern recognition, and digital image processing. [1] [2] The purpose of the technique is to find imperfect instances of objects within a certain class of shapes by a voting procedure.
The position of these rectangles is defined relative to a detection window that acts like a bounding box to the target object (the face in this case). In the detection phase of the Viola–Jones object detection framework , a window of the target size is moved over the input image, and for each subsection of the image the Haar-like feature is ...
Also, if the object is rotated by θ and this transformation is denoted by T θ, then T θ [R(ɸ)] = Rot{R[(ɸ-θ)mod2π],θ} i.e., all the indices are incremented by – θ modulo 2π, the appropriate vectors r are found, and then they are rotated by θ. Another property which will be useful in describing the composition of generalized Hough ...