In the area of computer vision, research on object detection algorithms has grown rapidly as it is the fundamental step for automation, specifically for self-driving vehicles. This work presents a comparison of traditional and deep learning approaches for the task of object detection in traffic ...
Many algorithms use various technologies to create a high-performance Copy Move Forgery Detection (CMFD) system. There are currently two major CMFD trends: traditional CMFD algorithms and deep-learning-based CMFD algorithms. The main concept behind CMFD algorithms is to extract image features ...
A collection of ComputerVision Algorithms python c-plus-plus computer-vision image-processing traditional-computer-vision Updated Jun 5, 2020 C++ kojunseo / SKKU-Computer-Vision-2020-2 Star 1 Code Issues Pull requests c2020년 2학기 성균관대학교 컴퓨터비전 수업...
(NLMS)adaptive filter. They assumed that both facial ROI and background follow theLambertian modeland share the samelight source. The discriminative response map fitting[34]and Kanade–Lucas–Tomasi[35]algorithms were used for face detection and tracking to address rigid head motion. Subsequently, ...
By reviewing both existing and new ideas, this survey gives a complete overview of the concepts, theories, algorithms, and applications related to background modeling and foreground detection. First, an introduction to background modeling and foreground detection for beginners is provided. For this, ...
The Viola-Jones algorithm was an amazing achievement. Even though it still performs great for many use cases, it is almost 20 years old. Other algorithms exist, and they use different features One example uses support vector machines (SVM) and features called histograms of oriented gradients (HO...
Object Detectionin your videos: Face Recognitionin your photos and videos: Hardware selection While this software has been tested as runnable on a modest laptop with 8GB RAM and an old core-i3 CPU, it's both a memory and CPU hog even if there's just a single deep object detector, since...
We also report the test results of comparison between Relief and other feature selection algorithms. The empirical results support the theoretical analysis, suggesting a practical approach to feature selection for real-world problems. 展开 被引量: 2634 ...
Moreover, common terms such as “paintings”, “sculptures”, “algorithms”, “education” and “teaching” are excluded in the classification task. Table 1 Macro-areas grouping together main keywords related to the main technologies for enhancing the fruition of artefacts in traditional museums ...
Following image shows the locations of the search windows used by our detection system. Feature Extraction The success of traditional machine learning algorithms such as SVM and logistic regression mainly depend on the features we used to train the algorithms. For this project, we used following thr...