In this paper, we propose an efficient MOD algorithm that can cope with moving camera environments. This results in mixed motion in the image frames and makes it difficult to classify target objects and background. In advanced driver assistance systems (ADAS), however, ego-motion is added to image frames owing to the use of a moving camera. The proposed moving object detector was implemented with 13.2K logic slices, 104 DSP48s, and 163 BRAM and can support real-time processing of 30 fps at an operating frequency of 200 MHz.Ībstract = "Most approaches for moving object detection (MOD) based on computer vision are limited to stationary camera environments. Experimental results demonstrate that our design achieves better detection performance than existing MOD systems. The proposed moving object detector was designed using hardware description language (HDL) and its real-time performance was evaluated using an FPGA based test system. In addition, we present a hardware design and implementation results for the real-time processing of the proposed algorithm. Most approaches for moving object detection (MOD) based on computer vision are limited to stationary camera environments.
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