Human Activity Recognition using OpenCv & Python
نویسندگان
چکیده
منابع مشابه
Automatic License Plate Recognition using Python and OpenCV
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most...
متن کاملHandwritten digits recognition using OpenCV
The automated recognition of handwritten digits is a largely studied problem which connects the fields of Computer Vision and Machine Learning and has many applications in real life. In this project, I detail an introductory investigation of the performance of classification in several contexts. Namely, relying on the OpenCV implementations of k-Nearest Neighbor, Random Forests, and Support Vec...
متن کاملAutomatic License Plate Recognition using OpenCV
Automatic License Plate Recognition system is a real time embedded system which automatically recognizes the license plate of vehicles. There are many applications ranging from complex security systems to common areas and from parking admission to urban traffic control. Automatic license plate recognition (ALPR) has complex characteristics due to diverse effects such as of light and speed. Most...
متن کاملHuman Activity Recognition using Smartphone
Human activity recognition has wide applications in medical research and human survey system. In this project, we design a robust activity recognition system based on a smartphone. The system uses a 3-dimentional smartphone accelerometer as the only sensor to collect time series signals, from which 31 features are generated in both time and frequency domain. Activities are classified using 4 di...
متن کاملHuman Gait Silhouettes Extraction Using Haar Cascade Classifier on OpenCV
Human Silhouette Extraction is one of the vital task in human abnormality gait detection. Hence in this study, extraction of human gait silhouette using Haar Cascade classifier is developed. This is done by detecting the region of interests (ROI) and by cropping the selected areas followed by background subtraction to eliminate unwanted background and further convert the images to silhouettes f...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2020
ISSN: 2321-9653
DOI: 10.22214/ijraset.2020.5106