Projects

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Interest point detection

Proposes a more appropriate treatment of the temporal dimension for detecting video interest points by using vector calculus on optical flow. Also, demonstrates that the proposed method is more robust to common video transformations in a video copy search setting-scale and compression ratio changes- when
compared to other methods.

Action recognition

Demonstrates that the proposed interest point detector gives improved action recognition performance on a popular benchmark dataset by combining it with local descriptors in a bag-of-features framework.

Person detection to control the AC in offices or home

Person detection was done using DNN, Opencv on Raspberry Pi. Temperature and Humidity sensor was used to get the current temperature and humidity. Based on these three output AC was switched on/off in different modes.

Facial emotion recognition

CNN based architecture is used for emotion recognition from videos. Keras with tensorflow backend and OpenCV is used for coding.

Person/Object detection

Person/object detection is done using CNN modelse.g. Fast RCNN.

Face recognition

face detection and recognition is done using hand-crafted features

Currently working on various computer vision projects such as facial emotion recognition, object detection, activity detection. Interested person can contact for collaboration or help.