The task of real time detection and tracking of a moving object in a video stream is quite challe... more The task of real time detection and tracking of a moving object in a video stream is quite challenging if camera itself is moving. This paper presents an implementation of real time detection and tracking of an unknown object in video stream with 360° (azimuth) rotating camera. It also presents adaption of different object tracking algorithms and their effect on implementation. The system described in this paper contains a camera that is connected to an embedded system (standalone board) or PC/laptop. They (board/PC) are having an image processing algorithm which detects an object first and then tracks it as long as it is in the line of sight of the camera. As the object moves, the PC/laptop/embedded Board gives signal to motor to rotate the camera which is mounted on a stepper motor. To monitor Object in video user can have multiple options. If user is using laptop/PC to track object it is very simple for him because he already has a screen but in case of embedded board user can monitor the activity of the object of interest using HDMI output or streaming video on WEB server. The object can be defined directly by the end user by selecting a portion of the frame in video stream. The embedded board/PC also saves the video stream in a storage device for playback purpose.
The task of real time detection and tracking of a moving object in a video stream is quite challe... more The task of real time detection and tracking of a moving object in a video stream is quite challenging if camera itself is moving. This paper presents an implementation of real time detection and tracking of an unknown object in video stream with 360° (azimuth) rotating camera. It also presents adaption of different object tracking algorithms and their effect on implementation. The system described in this paper contains a camera that is connected to an embedded system (standalone board) or PC/laptop. They (board/PC) are having an image processing algorithm which detects an object first and then tracks it as long as it is in the line of sight of the camera. As the object moves, the PC/laptop/embedded Board gives signal to motor to rotate the camera which is mounted on a stepper motor. To monitor Object in video user can have multiple options. If user is using laptop/PC to track object it is very simple for him because he already has a screen but in case of embedded board user can monitor the activity of the object of interest using HDMI output or streaming video on WEB server. The object can be defined directly by the end user by selecting a portion of the frame in video stream. The embedded board/PC also saves the video stream in a storage device for playback purpose.
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Papers by Dhaval Pipalia