| 000 | 01392nam a22001937a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20220107122852.0 | ||
| 008 | 190705b xxu||||| |||| 00| 0 eng d | ||
| 040 | _cIIITMK | ||
| 100 |
_aOmraj Kumar (92217017) _916080 |
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| 245 | _aHuman detection and alert generation system from live and recorded camera feeds | ||
| 300 | _aMSC DA 2017-2019 | ||
| 500 | _aReal-time object detection and tracking is a vast, vibrant yet inconclusive and complex area of computer vision. Due to its increased utilization in surveillance, tracking system used in security and many others applications have propelled researchers to continuously devise more ecient and competitive algorithms. However, problems emerge in implementing object detection and tracking in real-time; such as tracking under dynamic environment, expensive computation to t the real-time performance, or multi-camera multi-objects tracking make this task strenuously dicult. Though, many methods and techniques have been developed, but in this literature review we have discussed some famous and basic methods of object detection and tracking. In the end we have also given their general applications and results. | ||
| 502 |
_bMSC DA _c2017-2019 _dINT _eDr Manoj Kumar T K |
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| 650 |
_aHUMAN DETECTION _916081 |
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| 650 |
_aOBJECT DETECTION _916082 |
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| 650 |
_aCONVOLUTIONAL NEURAL NETWORKS _916083 |
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| 942 |
_2ddc _cPR |
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| 999 |
_c6548 _d6548 |
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