A system to automatically track humans and vehicles with a PTZ camera

Lalonde, Marc; Foucher, Samuel; Gagnon, Langis; Ethan, Pronovost,; Derenne, Maxime; Janelle, A.

doi:10.1117/12.718446

Cited by 30 publications

(18 citation statements)

References 13 publications

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“…Metode pelacakan lainnya adalah dengan menggunakan kamera PTZ, seperti yang dilakukan oleh Lalonde dkk. [8]. Metode ini dapat melakukan pelacakan posisi menggunakan algoritma background substraction dan dilakukan perbesaran objek dengan memanfaatkan fitur zoom.…”

Section: Pendahuluanunclassified

Sistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching

Fahriannur

Mardiyanto

Siswanto

2018

Jurnal Teknologi dan Sistem Komputer

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-This study is aimed to develop a tracking system algorithm by combining optical flow and template matching algorithms to strengthen tracking and minimize the resulting errors. The system has been tested on a football video game with the ball as a tracking object. The optical flow and template matching algorithms are used interchangeably based on the coordinates of both ranges calculated using the Euclidean distance equation. The result shows that the system is able to do tracking, although it is temporarily blocked by other objects, more stable and the distance error between the coordinates of the tracking result and the actual coordinates is not more than 110 pixels compared to using only optical flow or template matching algorithm. [9] mengembangkan sistem pelacakan video menggunakan algoritma frame differencing. Deteksi objek dilakukan dengan cara frame sekarang dikurangi dengan frame sebelumnya dan di antara objek yang terdeteksi dipilih salah satu objek menggunakan template matching. Hal ini mempercepat proses komputasinya dibandingkan dengan hanya menggunakan template matching saja. Parrila dkk. Keywords[10] membangun sistem pelacakan pada video lalu lintas jalan raya dengan menggunakan algoritma optical flow yang handal, yaitu dapat terus *) Penulis korespondensi (Meilana Siswanto)

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Section: Pendahuluanunclassified

Sistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching

Fahriannur

Mardiyanto

Siswanto

2018

Jurnal Teknologi dan Sistem Komputer

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“…Research has presented different approaches for background modeling by background detection, subtraction, and motion cues [9] [10] [11]. For the proposed system we subtracted consecutive frames from the camera to identify moving objects ( Figure 5).…”

Section: Moving Object Detectionmentioning

confidence: 99%

Web-Based Object Tracking Using Collaborated Camera Network

Azad¹,

Misbahuddin²

2018

AIT

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The paper presents a web based vision system using a networked IP camera for tracking objects of interest. Three critical issues are addressed in this paper. First is the detection of moving objects in the foreground; second is the control of pan-tilt-zoom (PTZ) IP cameras based on object location; and third is the collaboration of multiple cameras over the network to track objects of interests independently. The developed system utilized a network of PTZ cameras along with a number of software tools for this implementation. The system was able to track a single and multiple objects successfully. The difficulties in the detection of moving objects are also analyzed while multiple cameras are collaborating over a network utilizing PTZ cameras.

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“…In computer vision research, the hybrid dual-camera system is a well-known surveillance setup, and there have been several research efforts [17], [18], [29] and commercial applications [20] with such a system for visual monitoring. These designs displayed two camera images in two separate windows and focused on improving the performance of computer automation and saving manual effort.…”

Section: Related Workmentioning

confidence: 99%

“…1, e-Fovea comprises a multi-resolution input system and a multi-resolution output system. The multi-resolution input system is a hybrid dual-camera system [17], [18], [29], which is composed of a static wide-angle camera and a steerable telephoto camera [or a pan-tilt-zoom (PTZ) camera].…”

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confidence: 99%

Multi-Resolution Design for Large-Scale and High-Resolution Monitoring

Chen

Lin

Chiu

et al. 2011

IEEE Trans. Multimedia

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Abstract-Large-scale and high-resolution monitoring systems are ideal for many visual surveillance applications. However, existing approaches have insufficient resolution and low frame rate per second, or have high complexity and cost. We take inspiration from the human visual system and propose a multi-resolution design, e-Fovea, which provides peripheral vision with a steerable fovea that is in higher resolution. In this paper, we firstly present two user studies, with a total of 36 participants, to compare e-Fovea to two existing multi-resolution visual monitoring designs. The user study results show that for visual monitoring tasks, our e-Fovea design with steerable focus is significantly faster than existing approaches and preferred by users. We then present our design and implementation of e-Fovea, which combines both multi-resolution camera input and multi-resolution steerable projector output. Finally, we present our deployment of e-Fovea in three installations to demonstrate its feasibility.

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A system to automatically track humans and vehicles with a PTZ camera

Cited by 30 publications

References 13 publications

Sistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching

Sistem Pelacakan Objek Menggunakan Kombinasi Algoritma Optical Flow dan Template Matching

Web-Based Object Tracking Using Collaborated Camera Network

Multi-Resolution Design for Large-Scale and High-Resolution Monitoring

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