FACE-DETECTION-AND-TRACKING-USING-A-BOOSTED-ADAPT - This thesis proposes a novel algorithm for integrated face detection and face tracking
based on the synthesis of an adaptive particle filtering algorithm and an AdaBoost face detection
algorithm. A novel Adaptive Particle Filter (APF), based on a new sampling technique, is
proposed to obtain accurate estimation of the proposal distribution and the posterior distribution
for accurate tracking in video sequences. The proposed scheme, termed a Boosted Adaptive
Particle Filter (BAPF), combines the APF with the AdaBoost algorithm. The AdaBoost
algorithm is used to detect faces in input image frames, while the APF algorithm is designed to
track faces in video sequences. The proposed BAPF algorithm is employed for face detection,
face verification, and face tracking in video sequences. Experimental results confirm that the
proposed BAPF algorithm provides a means for robust face detection and accurate face tracking
under various tracking scenarios. ,2014-03-09 19:52:59,下载4次
Ichara.rar - arabic sign lauguage pictures,2013-07-25 19:33:26,下载1次
FSKD.2009.210.rar - The paper describes a gesture recognition algorithm
which can effectively recognize single-hand gestures in real
time under complex environment. The system involves a
vocabulary of 20 gestures consisted by part of Chinese sign
language letter spelling alphabet and digits. A new complexion
model has been proposed to extract hand regions under a
variety of lighting conditions. Real-time performance is due to
a novel combination of voting theory and relief algorithm. This
system is used in our mobile robot control project.,2013-07-25 17:56:12,下载4次
Edge-Detection-and-Image-Filtering.rar - edge detection and image,2013-05-10 03:39:56,下载4次
CAMSHIFT-Tracking-Algorithm.rar - part1.m
1. Converts 14 image pairs of a video sequence to grayscale.
2. Computes the absolute difference between the pairs yielding 15 images.
camshift.m
1. Implementation of the CAMSHIFT algorithm for tracking a hand in a video sequence.
Executing this project from within Matlab
At the command prompt enter:
>>part1
>>camshift,2013-05-09 02:09:41,下载69次