Sensor-Based Pedestrian Protection
IEEE Intelligent Systems
Real Time Fusion of Motion and Stereo Using Flow/Depth Constraint for Fast Obstacle Detection
Proceedings of the 24th DAGM Symposium on Pattern Recognition
An effective learning of neural network by using RFBP learning algorithm
Information Sciences—Informatics and Computer Science: An International Journal
An Experimental Study on Pedestrian Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
International Journal of Computer Vision
Classifying functional time series
Signal Processing
Synchronization between Two Different Chaotic Neural Networks with Fully Unknown Parameters
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Mixture of Gaussians Model for Robust Pedestrian Images Detection
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Pedestrian recognition from a moving catadioptric camera
Proceedings of the 29th DAGM conference on Pattern recognition
The predictions of optoelectronic attributes of LED by neural network
Expert Systems with Applications: An International Journal
HOG-based descriptors on rotation invariant human detection
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Performance analysis of pedestrian detection at night time with different classifiers
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
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We present an algorithm based on a time-delay neural network with spatio-temporal receptive fields and adaptable time delays for image sequence analysis. Our main result is that tedious manual adaptation of the temporal size of the receptive fields can be avoided by employing a method to adapt the corresponding time delay and related network structure parameters during the training process