A real-time color-based object tracking and occlusion handling using ARM cortex-A7

Gajbhiye, Samar D.; Gundewar, Pooja P.

doi:10.1109/indicon.2015.7443641

Cited by 4 publications

(4 citation statements)

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“…Occlusion and Illumination are two big issues in object tracking. The work of [9] stresses on tracking of objects with partial or full occlusion in real time. [9] has proposed a colour-based algorithm which is used to track the objects through colours and contours.…”

Section: Related Workmentioning

confidence: 99%

“…The work of [9] stresses on tracking of objects with partial or full occlusion in real time. [9] has proposed a colour-based algorithm which is used to track the objects through colours and contours. It is a challenging task to obtain real time performance on embedded vision as there is no perfect hardware which meets all the conditions of the levels of processing.…”

Section: Related Workmentioning

confidence: 99%

“…The infrared camera an capture 22 frames per second leading to slower processing speed in comparison to the camera used in the proposed work. Like, the work of [9], the proposed research incorporates the colour and contour tracking algorithm to classify the object trajectory and detects imminent collision in real time considering the illumination and background changes.…”

Section: Related Workmentioning

confidence: 99%

“…Whereas, python does not require compilation instead needs an interpreter which generates the python executable file. The elf file is used to run on the hard processor through RS232 port [9]. The flowchart of the contour tracking algorithm used in the proposed system is as shown in Figure 1.…”

Section: Software Layermentioning

confidence: 99%

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Online Object Trajectory Classification Using FPGA-SoC Devices

Shinde

Machado

Santos

et al. 2018

Advances in Intelligent Systems and Computing

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Real time classification of objects using computer vision techniques are becoming relevant with emergence of advanced perceptions systems required by, surveillance systems, industry 4.0 robotics and agricultural robots. Conventional video surveillance basically detects and tracks moving object whereas there is no indication of whether the object is approaching or receding the camera (looming). Looming detection and classification of object movements aids in knowing the position of the object and plays a crucial role in military, vehicle traffic management, robotics, etc. To accomplish real-time object trajectory classification, a contour tracking algorithm is necessary. In this paper, an application is made to perform looming detection and to detect imminent collision on a system-on-chip field-programmable gate array (SoC-FPGA) hardware. The work presented in this paper was designed for running in Robotic platforms, Unmanned Aerial Vehicles, Advanced Driver Assistance System, etc. Due to several advantages of SoC-FPGA the proposed work is performed on the hardware. The proposed work focusses on capturing images, processing, classifying the movements of the object and issues an imminent collision warning on-the-fly. This paper details the proposed software algorithm used for the classification of the movement of the object, simulation of the results and future work.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Software Layermentioning

confidence: 99%

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