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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Target vehicle tracking under occlusion for video surveillance
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2018-08) Joshi, Rakesh Chandra; Mathur, Sanjay
    With the rapid development corporate infrastructure, industrial establishments, educational institutes and residential premises are facing an increasing need to enhance their security. In this thesis, a hybrid target vehicle tracking algorithm for smart video surveillance is proposed. It aims to track an unidentified target vehicle’s motion in a secured campus even in case of occlusion (if any) and to detect if it exhibits any suspicious activity. The main contents of this thesis are as follows: Aiming at the tracking of a target vehicle and handling occlusions if any through Kalman Filter assisted occlusion handling technique, performance evaluation under different noise and illumination levels and finally suspicious activity detection technique for the tracked vehicle. The algorithm works through two periods namely tracking period (no occlusion) and detection period (in case of occlusion), thus depicting its hybrid nature. Kanade-Lucas-Tomasi (KLT) feature tracker governs the operation of algorithm during the tracking period, whereas, a Cascaded Object Detector (COD) of weak classifiers, specially trained on a large database of cars, governs the operation during detection period or occlusion with the assistance of Kalman Filter. The motion analyses and suspicious activity detection capabilities have been discussed separately. The algorithm’s tracking efficiency has been tested on six different tracking scenarios of increasing complexity in real time. Performance evaluation results under high noise and low illumination show that the tracking algorithm has good robustness. All tests have been conducted on the MATLAB platform. The validity and practicality of the algorithm are verified.