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@article{155404,
        author = {D. Surya and K. Susindharan and D. Seshadri and A. Santhiya},
        title = {Automated Object Tracker},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {776-782},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155404},
        abstract = {In recent years, drones are used for security purposes,  monitoring purposes, and Aerial photography. But capturing pictures and recording videos using drones requires precise manual control and also needs manpower. Hence we proposing this “Automated Object Tracker” project. The main objective of this project is to detect, recognize and track objects precisely using a drone in an automated manner.
The following techniques are important in Automatic Object Tracking: Detection, Recognition, and Tracking. Hence we use the Open CV method for the Detection and Face Recognition module for recognition purposes using Python. By programming motion controls, the drone can stabilize its movements using a flight controller according to the detected object. The detection and tracking of the object can be monitored through mobile or laptop.},
        keywords = {Automated object tracking drone, Object detection using OpenCV, Object detection, Face recognition.},
        month = {},
        }