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Hidden Markov Model (HMM)

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Hidden Markov Model (HMM)  VIDEO LINK:  https://youtu.be/YIGCWNG8BIA A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. Video Chapters: HMM in Artificial Intelligence 00:00 Introduction 00:31 Statistical Model 00:54 HMM Examples 02:30 HMM 03:10 HMM Components 05:23 Viterbi Algorithm 06:23 HMM Applications 06:38 HMM Problems 07:28 HMM in Handwriting Recognition 11:20 Conclusion  HMM COMPONENTS A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. An HMM consists of states, observations, transition probabilities, emission probabilities, and initial probabilities. It is commonly used in a...
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What is multi-block LBP?

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Multi-Block LBP is used to encode the rectangular region’s intensity by using local binary patterns. Local Binary Pattern (LBP) looks at nine pixels at a time (i.e., 3x3 window of image = 9-pixel values and 2^9 = 512 possible values). By using Local Binary Pattern we can turn this 3x3 matrix into a single value. LBP focus on the very local neighborhood like 3x3. Multi-block LBP has been used for larger-scale structure. With the help of Multi-Block Local Binary Pattern (MB-LBP), 256 types of different binary patterns can be formed for edge detection and face detection from still images. The computation of the local binary pattern on the 3x3 matrix is shown in Figure. I used MB-LBP For Face Detection.
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What are the best algorithms for face detection in Matlab?

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The best algorithms for face detection in Matlab = Viola-Jones Algorithm Face from the different digital images can be detected. The vision. CascadeObjectDetector uses the Viola-Jones algorithm to detect people’s Faces, Noses, Eyes, Mouth or upper body. The Cascade Object Detector build into MATLAB to detect the facial features from a digital image. Detects the left and right eyes separately. Detects the mouth. Detect the objects using the viola jones algorithm. Detect a pair of eyes. Detects faces that are upright and forward-facing. For Face detection: faceDetector=vision.CascadeObjectDetector('FrontalFaceCART'); For Eyes detection: faceDetector=vision.CascadeObjectDetector('EyePairBig’); I Created a Face Detection system using Viola- Jones algorithm. Book :  Face and Facial Expression Recognition LINK :  Face Doctor - Viola Jones LINK Project | Face Detection using Polar Harmonic Transforms ~xRay Pixy
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