Search Results - (( frames prediction based algorithm ) OR ( java application customization algorithm ))

An improved method in speech signal input representation based on DTW technique for NN speech recognition system by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

Get full text
Get full text
Get full text

Parallel Kalman filter-based multi-human tracking in surveillance video by Yussiff, A.-L., Yong, S.-P., Baharudin, B.B.

Get full text
Get full text

Time normalization of LPC feature using warping method by Sudirman, Rubita, Salleh, Sh. Hussain, Khalid, Puspa Inayat, Ahmad, Abd. Hamid

“…The processed features are pitch and Linear Predictive Coefficients (LPC) for input and reference templates, based on Dynamic Time Warping (DTW) algorithm. …”
Get full text
Get full text
Get full text

Accurate Real-TIme Object Tracking with Linear Prediction Method by P. Y., Yeoh, Syed Abu Bakar, Syed Abdul Rahman

“…It attempts to predict the centroid of the moving object in the next frame, based on several past centroid measurements. …”
Get full text
Get full text
Get full text

DTWFF-pitch feature and faster neural network convergence for speech recognition by Sudirman, Rubita, Salleh, Sh. Hussain, Salleh, Shaharuddin

“…The processed features are pitch and Linear Predictive Coefficients (LPC) for input and reference templates, based on Dynamic Time Warping (DTW) algorithm. …”
Get full text
Get full text
Get full text

Integration of projection histograms and linear prediction for object tracking by Yeoh, Phaik Yong, Abu Bakar, Syed Abdul Rahman

“…The Projection Histograms technique is applied to obtain the actual location of the tracked target, whereas the Linear Prediction method is incorporated in the proposed tracking algorithm to predict the location of the moving object in the next frame based on its several past centroid measurements. …”
Get full text
Get full text
Get full text

A survey on 2d object tracking in digital video by Khobragade, A.S., Dethe, C.G., Kulat, K.D.

“…This paper presents object tracking methods in video.Different algorithms based on rigid, non rigid and articulated object tracking are studied. …”
Get full text
Get full text
Get full text

Multiple description coding for streoscopic 3D by Karim, H., Sali, Aduwati, Worral, S., Sadka, A. H., Kondoz, A. M.

“…In the literature, MDC has previously been applied in 2D video but not so much in 3D video. The proposed algorithm enhances the error resilience of the 3D video using the combination of even and odd frame based MDC while retaining good temporal prediction efficiency for video over error-prone networks. …”
Get full text
Get full text

Road lane tracking based on monocular vision by Al-Amoodi, Abdullah, Balfaqih, Omar, Htike@Muhammad Yusof, Zaw Zaw

Get full text
Get full text
Get full text
Get full text

REGION-BASED ADAPTIVE DISTRIBUTED VIDEO CODING CODEC by ABDELRAHMAN ELAMIN, ABDELRAHMAN ELAMIN

“…Due to the limitation of compensation method, the predicted frame, or the side information, is expected to have varying degrees of success. …”
Get full text
Get full text

An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

“…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
Get full text
Get full text

An adaptive block-based matching algorithm for crowd motion sequences by Kajo, I., Kamel, N., Malik, A.S.

“…The proposed algorithm is based on block-based matching, particle advection, and social force model. …”
Get full text
Get full text

Using predictive analytics to solve a newsvendor problem / S. Sarifah Radiah Shariff and Hady Hud by Shariff, S. Sarifah Radiah, Hud, Hady

Get full text
Get full text

Adaptive model predictive control based on wavelet network and online sequential extreme learning machine for nonlinear systems by Salih, Dhiadeen Mohammed

“…An analytical analysis based on ELM theories presented to prove the capability of the LWN to support the OSELM algorithm (LWN-OSELM). …”
Get full text
Get full text

Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

“…These algorithms are sensitive to noise, and thus, it is difficult to accurately predict the location of the objects. …”
Get full text
Get full text

An enhanced adaptive grey verhulst prediction model for network security situation by Leau, Yu Beng, Selvakumar Manickam

“…The proposed model applied Kalman Filtering algorithm to predict the residual in the next time-frame and closer the deviation between the predicted and actual network security situation. …”
Get full text
Get full text
Get full text

Speaker verification based on speech signal by Shariffah Fauziah, Jap, Chekima, Ali, Mazlina, Mamat, Wan Mahani, Abdullah

Get full text

Real time tracking in 3D space by robotic vision by Al-Khateeb, Khalid A. Saeed, Dandu, Mohd Akram

“…The target coordinates are determined by an image processing technique and non-linear prediction algorithm. The control signals derived from the video signal set the azimuth ? …”
Get full text
Get full text

A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

“…Our approach encodes the important information during the segmentation phase by a simultaneous process of various reference frames that are subsequently utilized to predict the persistent and conspicuous objects in the foreground. …”
Get full text
Get full text

Extract Motion from Picture Sequence by MOHD SHAFIQ AHMAD DAHALAN, MOHD SHAFIQ

“…Based on the assumption of the observed brightness (intensity) of any object point is constant over time interval and the movement is small, optical flow equation (OFE) is derived and used in algorithm to calculate optical flow for a particular motion. …”
Get full text
Get full text