Optimized motion simplification for crowd animation

Ahn, Jeong Joon; Oh, Seungwoo; Wohn, Kwangyun

doi:10.1002/cav.119

Cited by 14 publications

(7 citation statements)

References 19 publications

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“…We also noticed that characters following real trajectories looks more realistic with various speed and movement along a path. In case of 1,000 characters simulation, about twice of computation is needed than motion simplification method [1]. However, the collision avoidance was not considered.…”

Section: Resultsmentioning

confidence: 99%

Long Term Real Trajectory Reuse through Region Goal Satisfaction

et al. 2011

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This paper is motivated by the objective of improving the realism of real-time simulated crowds by reducing short term collision avoidance through long term anticipation of pedestrian trajectories. For this aim, we choose to reuse outdoor pedestrian trajectories obtained with non-invasive means. This initial step is achieved by analyzing the recordings of multiple synchronized video cameras. In a second off-line stage, we fit as long as possible trajectory segments within predefined paths made of a succession of region goals. The concept of region goal is exploited to enforce the principle of "sufficient satisfaction": it allows the pedestrians to relax the prescribed trajectory to the traversal of successive region goals. However, even if a fitted trajectory is modified due to collision avoidance, we are still able to make long-term trajectory anticipation and distribute the collision avoidance shift over a long distance.

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Section: Resultsmentioning

confidence: 99%

Long Term Real Trajectory Reuse through Region Goal Satisfaction

et al. 2011

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“…Kulpa et al [12] proposed an LOD method for collision detection and avoidance. In [1], an animation LOD system that adjusts the number of moving bones according to the selected detail level is presented. In fact, LOD in navigation is used in the areas where neither the user focus nor the interaction is available therefore; navigation is unnecessary for those areas.…”

Section: Related Workmentioning

confidence: 99%

“…To increase the agent count, level of detail (LOD) techniques are used in both rendering [8,14] and behavior [1,12] of the simulation. Kulpa et al [12] proposed an LOD method for collision detection and avoidance.…”

Section: Related Workmentioning

confidence: 99%

Real-time collision-free linear trajectory generation on GPU for crowd simulations

Barut

Haciömeroğlu

2015

Vis Comput

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Crowd simulations are mostly employed to compose a background in the current scene. For such ambient crowds, it might be unnecessary to perform complex steering calculations. In this study, a steering-free crowd simulation which eliminates the computational cost arising from expensive steering maneuvers is presented. For this purpose, agents are assigned a linear trajectory that is guaranteed to be collision free before entering the simulation. These trajectories are calculated using readily available rendering pipeline of the GPU. To that end, existing agents' bounding discs are rendered in a spatio-temporal manner as each one forms a straight 3D tube and a projection from a selected initial position is captured. Using the blank areas (holes) in this image, it is possible to determine a suitable constant velocity (a goal position and a speed). In experiments, we not only assess three different methods to choose one of the candidate solutions, but also compare our approach with an existing work. Test results reveal that our technique gives better results in both populating an empty environment with agents quicker and reaching a higher maximum number of agents than the existing method.

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“…At present, the mass animation production method has been widely used in many commercial movies, and commercial software specially used for mass animation production has been produced, such as the famous large-scale mass animation software, which created amazing animations in the movie " e Lord of the Rings," and visual e ects and won the 2003 Academy Award for Science and Engineering. In addition to lm and television e ects, crowd animation is widely used in the eld of game entertainment and simulation research, so crowd animation has profound research signi cance [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

An Animation Model Generation Method Based on Gaussian Mutation Genetic Algorithm to Optimize Neural Network

Liu

Chen

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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With the rapid development of computer graphics, 3D animation has been applied to all fields of people’s lives, especially in the industries of film and television works, games, and entertainment. The wide application of animation technology makes it difficult for general 3D animation effects to impress increasingly discerning audiences. Group animation, as a new focus, has received more and more attention and has become a hot issue in computer graphics. Traditional animation production mainly relies on manual drawing and key frame technologies. The limitations of these technologies make the production of group animation consume a lot of manpower, financial resources, and time, and cannot guarantee the intelligence of characters and the authenticity of group behavior. Therefore, in order to end the above issues, this paper proposes an animation model generation method based on Gaussian mutation genetic algorithm to optimize neural network, including obtaining animation scene data, according to the animation scene data, and extracting animation model elements. The elements are input into the model network, the target animation model is generated, and the target animation model is displayed. The method proposed in this paper improves the animation model generation method in the prior art to a certain extent. The proposed animation model is constructed only through fixed rules, and the composition rules of the model cannot be changed according to the historical data of the animation model construction and other factors. Technical issues that reduce the flexibility and accuracy of the animation model generation.

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Optimized motion simplification for crowd animation

Cited by 14 publications

References 19 publications

Long Term Real Trajectory Reuse through Region Goal Satisfaction

Long Term Real Trajectory Reuse through Region Goal Satisfaction

Real-time collision-free linear trajectory generation on GPU for crowd simulations

An Animation Model Generation Method Based on Gaussian Mutation Genetic Algorithm to Optimize Neural Network

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