Measuring Heartbeat Rate in Facial Video by Combining GFT and SDM Methods
Human body is effectively tested only by the heartbeat. Based on the heartbeat rate many diseases can be found.
In this paper, we have proposed effective method for detecting heartbeat. This method overcome the difficulties in the
previous methods proposed like, subject movement in the unrealistic environment etc. The proposed method detects the
feature point using GFT and SDM in Facial video. Before this Face quality Assessment is also included. This need to be
tested on the MAHNOB-HCI database which includes realistic scenarios. This method will achieve good experimental
performance. And also we have to compare heartbeat rate using GFT or SDM and then combination of GFT and SDM.
Index Terms— GFT-Good Feature to Track, SDM-Supervised Descent Method, Facial Video, HeartBeat Rate