CVJun 4, 2014
Improvement Tracking Dynamic Programming using Replication Function for Continuous Sign Language Recognition
arXiv:1406.0909v14 citations
AI Analysis
This is an incremental improvement for sign language recognition systems.
The paper tackled the problem of continuous sign language recognition by improving dynamic programming tracking using a replication function to enhance skin region visibility, resulting in an 11% reduction in tracking error rate and a 7% reduction in average tracked distance.
In this paper we used a Replication Function (R. F.)for improvement tracking with dynamic programming. The R. F. transforms values of gray level [0 255] to [0 1]. The resulting images of R. F. are more striking and visible in skin regions. The R. F. improves Dynamic Programming (D. P.) in overlapping hand and face. Results show that Tracking Error Rate 11% and Average Tracked Distance 7% reduced