Using neural network to learn spatial-temporal models for moving deformable objects tracking

Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing, NICROSP

Volumn , Issue , 1996, Pages 145-151

  Xu, Li Qun ^a   Hogg, David C ^a  

^a UNIVERSITY OF ABERTAY DUNDEE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DATA REDUCTION; DATA STRUCTURES; ELECTRIC NETWORK TOPOLOGY; IMAGE PROCESSING; LEARNING ALGORITHMS; OBJECT RECOGNITION; VECTORS;

DATA SET; DEFORMABLE OBJECTS TRACKING; MULTIVARIATE TIME SERIES PREDICTION; NOISE REGULARIZATION METHOD; SPATIAL TEMPORAL MODELS; STATE VECTORS; TRAINING PATTERNS;

NEURAL NETWORKS;

EID: 0029746604     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)