… In their paper “Deep Perceptual Mapping for Cross-Modal Face Recognition”, Sarfraz and …
recognition. This paper provides a deep learning approach to multi-modal face recognition by …

… segmentation based object tracking algorithm on a … recognition, and is able to track up to
4 independent coloured targets. By optimising and adapting the algorithm, the object tracking …

… The detection algorithm found it useful to correctly identify the objects when occlusion happens,
which greatly reduces ambiguity in the recognition and tracking of many moving objects. …

… However, according to [20], a new method for data recognition and detection has been a …
[4] gives a text tracking and recognition approach for frames of videos [22]. The public scene …

… However, re-sampling could be optimised in cases where the boundary has regions of intricate
… Other advantages are that a chain code tracking algorithm is easily implemented and the …

… They allowed me to complete my early experiments in human activity recognition and … my
research on radar-based human and animal activity recognition. Three of those are noteworthy: …

… -computer interaction, face recognition technology is a key technology, … tracking, work
clocking, face payment, customs screening and so on. The process of face expression recognition …

… foolproof methods for visual tracking. This paper propose a model to enhance visual tracking
by introduce the concept of regression analysis in visual tracking for optimization purpose. …

… tracking performance from aspects of tracking prediction and data association. Similar as in
image recognition tasks, … In globally optimised MOT, tracking is treated as optimal partition of …

… 2) Recognition Accuracy: To prove our strategy on minimising the coherence of the
sensing matrix gives good face recognition accuracy, we compare opti-SRC (with optimised …