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IntroductionÄigital image processing technology is developed with the development of computer technology, artificial intelligence, and multimedia technology. The running time of the algorithm is shorter than the running time of other comparison algorithms, which fully shows the accuracy and superiority of the algorithm in this study. The data identification results also show that the optimized ABC algorithm fits the real trajectory better in the trajectory identification. The experiment shows that the average correct rate of feature extraction is also about 98%. Then, the optimized ABC algorithm is used to identify the multimedia visual image trajectory. The trajectory recognition simulation shows that the optimized algorithm accelerates the convergence speed and the ability of the global optimal solution in the trajectory recognition process. Therefore, this study is based on the standard ABC algorithm. Based on this, this study proposes the artificial bee colony (ABC) algorithm to identify the motion trajectory in the visual image, but the standard ABC algorithm is too slow to converge in the later stage of trajectory recognition. By identifying the motion trajectories of different objects, road emergencies can be effectively prevented and countermeasures can be established. Due to the advantages of multimedia visual image motion trajectory identification technology in road traffic safety, it can effectively prevent the chaos and influence caused by humans in chaotic situations, making it widely used. Through the combination of multimedia and monitoring system, the collected image data are processed and integratedly controlled by the computer platform, and an intelligent monitoring system for traffic road safety can be obtained. Paying attention to and handling emergencies have also become one of the main points of attention. With the rapid development of electronic technology, network technology, and multimedia processing technology, people pay more and more attention to the surrounding environment.