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This program is a program in his former graduate,
4.0
This program is a program in his former graduate, mainly the pedestrian detection, tracking and counting problems, because many post has any questions on this, so I upload before graduation, also wants to help the people in need. This is mainly pedestrian detection using HOG+SVM, after tracking and counting, you can implement the basic functionality, but there is some shortage of places, mainly in the iteration time.
04155418 10 0
1
Pedestrian detection of this upload is his graduat
4.0
This program is a program in his former graduate, mainly the pedestrian detection, tracking and counting problems, because many post has any questions on this, so I upload before graduation, also wants to help the people in need. This is mainly pedestrian detection using HOG+SVM, after tracking and counting, you can implement the basic functionality, but there is some shortage of places, mainly in the iteration time.
04155418 0 0
1
Face detection and recognition based on neural net
no vote
This is my own graduation design code used to identify high efficiency, fast speed, but also hope that we can take this platform to share to more people in need
04155418 0 0
1
Write your own TLD tracking algorithm
no vote
This design is to use the TLD of pedestrian detection and tracking algorithms, and after a lot of debugging, now feature has been implemented, high efficiency and effective
04155418 1 0
1
Optical flow motion tracking
no vote
This program is realized by using an optical flow method, you can achieve very good tracking of moving targets, and tracking more efficient, but also can give real-time trajectory marked. The upload code is himself through a series of tests and modify the upload bug that occurs before, many places have joined the detailed notes, and easier for readers to understand.
04155418 1 0
1
Road traffic counting
4.0
The design of the program is of automobile based on Matlab application in road traffic statistics counting design, design thinking, design reasonable, also quickly realized the car count of traffic statistics with good results
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1
OpenCv + HOG+LBP+SVM
no vote
The code is realized by the OpenCV based on hog and LBP feature using support vector machine to classification decisions for pedestrian detection code, interested students can download the reference under! -The code is done by opencv combined with the feature of hog and LBP, by support vector machine (SVM) classification decisions to achieve the pedestrian detection code, students are interested can download the reference!
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1
This is a code based on the number of HOG feature
5.0
This is a code based on the number of HOG feature statistics, use the SVM+HOG method to identify the flow of statistics, test results are obvious, just need some sample user retraining, the current, the number of positive and negative samples are within a certain range, the more the better, and the samples should be a general representative. Code structure and logic is clear, you can quickly identify pedestrian in the video frame sequence, and estimates that number in the current picture.
04155418 8 0
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Pedestrian detection using Hog features and SVM cl
4.0
OpenCV comes with the classifier is the use of Dalal; Navneet and Bill Triggs provided samples for training, not necessarily apply to your application. So, for your particular application scenarios, it is necessary to re train the classifier that is suitable for you. The purpose of this paper is to. Re training pedestrian detection process: prepare the training sample set; including a set of positive samples and negative samples; we know from basic knowledge of machine learning, to the use of machine learning algorithms for training samples to get a good performance of classifier, the training samples should be the is an infinite number of, and the training sample should cover may occur in the process of actual application
04155418 0 0
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No more~
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